Overview

Dataset statistics

Number of variables162
Number of observations100
Missing cells12981
Missing cells (%)80.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.7 KiB
Average record size in memory1.3 KiB

Variable types

Numeric18
Categorical40
Unsupported104

Alerts

packaging has constant value "plastique"Constant
packaging_tags has constant value "plastique"Constant
categories has constant value "Filet de bœuf"Constant
categories_tags has constant value "fr:filet-de-boeuf"Constant
categories_fr has constant value "Filet-de-boeuf"Constant
traces has constant value "milk, egg, "Constant
traces_tags has constant value "en:eggs,en:milk"Constant
traces_fr has constant value "Å’ufs,Lait"Constant
ingredients_from_palm_oil_n has constant value "0.0"Constant
ingredients_that_may_be_from_palm_oil_tags has constant value "e481-stearoyl-2-lactylate-de-sodium,e472e-ester-monoacethyltartrique-de-mono-et-diglycerides-d-acides-gras,e472b-ester-diacetyl-lactique-de-mono-et-diglycerides-d-acides-gras"Constant
pnns_groups_1 has constant value "unknown"Constant
pnns_groups_2 has constant value "unknown"Constant
main_category has constant value "fr:filet-de-boeuf"Constant
main_category_fr has constant value "Filet-de-boeuf"Constant
trans-fat_100g has constant value "0.0"Constant
url has a high cardinality: 100 distinct valuesHigh cardinality
product_name has a high cardinality: 99 distinct valuesHigh cardinality
ingredients_text has a high cardinality: 96 distinct valuesHigh cardinality
additives has a high cardinality: 95 distinct valuesHigh cardinality
creator is highly imbalanced (86.1%)Imbalance
countries is highly imbalanced (84.9%)Imbalance
countries_tags is highly imbalanced (82.7%)Imbalance
countries_fr is highly imbalanced (82.7%)Imbalance
additives_n is highly imbalanced (57.0%)Imbalance
ingredients_that_may_be_from_palm_oil_n is highly imbalanced (91.7%)Imbalance
states is highly imbalanced (84.4%)Imbalance
states_tags is highly imbalanced (84.4%)Imbalance
states_fr is highly imbalanced (84.4%)Imbalance
generic_name has 100 (100.0%) missing valuesMissing
quantity has 97 (97.0%) missing valuesMissing
packaging has 99 (99.0%) missing valuesMissing
packaging_tags has 99 (99.0%) missing valuesMissing
brands has 4 (4.0%) missing valuesMissing
brands_tags has 4 (4.0%) missing valuesMissing
categories has 99 (99.0%) missing valuesMissing
categories_tags has 99 (99.0%) missing valuesMissing
categories_fr has 99 (99.0%) missing valuesMissing
origins has 100 (100.0%) missing valuesMissing
origins_tags has 100 (100.0%) missing valuesMissing
manufacturing_places has 100 (100.0%) missing valuesMissing
manufacturing_places_tags has 100 (100.0%) missing valuesMissing
labels has 100 (100.0%) missing valuesMissing
labels_tags has 100 (100.0%) missing valuesMissing
labels_fr has 100 (100.0%) missing valuesMissing
emb_codes has 100 (100.0%) missing valuesMissing
emb_codes_tags has 100 (100.0%) missing valuesMissing
first_packaging_code_geo has 100 (100.0%) missing valuesMissing
cities has 100 (100.0%) missing valuesMissing
cities_tags has 100 (100.0%) missing valuesMissing
purchase_places has 100 (100.0%) missing valuesMissing
stores has 100 (100.0%) missing valuesMissing
ingredients_text has 3 (3.0%) missing valuesMissing
allergens has 100 (100.0%) missing valuesMissing
allergens_fr has 100 (100.0%) missing valuesMissing
traces has 99 (99.0%) missing valuesMissing
traces_tags has 99 (99.0%) missing valuesMissing
traces_fr has 99 (99.0%) missing valuesMissing
serving_size has 4 (4.0%) missing valuesMissing
no_nutriments has 100 (100.0%) missing valuesMissing
additives_n has 3 (3.0%) missing valuesMissing
additives has 3 (3.0%) missing valuesMissing
additives_tags has 81 (81.0%) missing valuesMissing
additives_fr has 81 (81.0%) missing valuesMissing
ingredients_from_palm_oil_n has 3 (3.0%) missing valuesMissing
ingredients_from_palm_oil has 100 (100.0%) missing valuesMissing
ingredients_from_palm_oil_tags has 100 (100.0%) missing valuesMissing
ingredients_that_may_be_from_palm_oil_n has 3 (3.0%) missing valuesMissing
ingredients_that_may_be_from_palm_oil has 100 (100.0%) missing valuesMissing
ingredients_that_may_be_from_palm_oil_tags has 99 (99.0%) missing valuesMissing
nutrition_grade_uk has 100 (100.0%) missing valuesMissing
nutrition_grade_fr has 63 (63.0%) missing valuesMissing
pnns_groups_1 has 99 (99.0%) missing valuesMissing
pnns_groups_2 has 99 (99.0%) missing valuesMissing
main_category has 99 (99.0%) missing valuesMissing
main_category_fr has 99 (99.0%) missing valuesMissing
image_url has 98 (98.0%) missing valuesMissing
image_small_url has 98 (98.0%) missing valuesMissing
energy_100g has 6 (6.0%) missing valuesMissing
energy-from-fat_100g has 100 (100.0%) missing valuesMissing
fat_100g has 19 (19.0%) missing valuesMissing
saturated-fat_100g has 41 (41.0%) missing valuesMissing
butyric-acid_100g has 100 (100.0%) missing valuesMissing
caproic-acid_100g has 100 (100.0%) missing valuesMissing
caprylic-acid_100g has 100 (100.0%) missing valuesMissing
capric-acid_100g has 100 (100.0%) missing valuesMissing
lauric-acid_100g has 100 (100.0%) missing valuesMissing
myristic-acid_100g has 100 (100.0%) missing valuesMissing
palmitic-acid_100g has 100 (100.0%) missing valuesMissing
stearic-acid_100g has 100 (100.0%) missing valuesMissing
arachidic-acid_100g has 100 (100.0%) missing valuesMissing
behenic-acid_100g has 100 (100.0%) missing valuesMissing
lignoceric-acid_100g has 100 (100.0%) missing valuesMissing
cerotic-acid_100g has 100 (100.0%) missing valuesMissing
montanic-acid_100g has 100 (100.0%) missing valuesMissing
melissic-acid_100g has 100 (100.0%) missing valuesMissing
monounsaturated-fat_100g has 100 (100.0%) missing valuesMissing
polyunsaturated-fat_100g has 100 (100.0%) missing valuesMissing
omega-3-fat_100g has 100 (100.0%) missing valuesMissing
alpha-linolenic-acid_100g has 100 (100.0%) missing valuesMissing
eicosapentaenoic-acid_100g has 100 (100.0%) missing valuesMissing
docosahexaenoic-acid_100g has 100 (100.0%) missing valuesMissing
omega-6-fat_100g has 100 (100.0%) missing valuesMissing
linoleic-acid_100g has 100 (100.0%) missing valuesMissing
arachidonic-acid_100g has 100 (100.0%) missing valuesMissing
gamma-linolenic-acid_100g has 100 (100.0%) missing valuesMissing
dihomo-gamma-linolenic-acid_100g has 100 (100.0%) missing valuesMissing
omega-9-fat_100g has 100 (100.0%) missing valuesMissing
oleic-acid_100g has 100 (100.0%) missing valuesMissing
elaidic-acid_100g has 100 (100.0%) missing valuesMissing
gondoic-acid_100g has 100 (100.0%) missing valuesMissing
mead-acid_100g has 100 (100.0%) missing valuesMissing
erucic-acid_100g has 100 (100.0%) missing valuesMissing
nervonic-acid_100g has 100 (100.0%) missing valuesMissing
trans-fat_100g has 96 (96.0%) missing valuesMissing
cholesterol_100g has 94 (94.0%) missing valuesMissing
carbohydrates_100g has 9 (9.0%) missing valuesMissing
sugars_100g has 36 (36.0%) missing valuesMissing
sucrose_100g has 100 (100.0%) missing valuesMissing
glucose_100g has 100 (100.0%) missing valuesMissing
fructose_100g has 100 (100.0%) missing valuesMissing
lactose_100g has 100 (100.0%) missing valuesMissing
maltose_100g has 100 (100.0%) missing valuesMissing
maltodextrins_100g has 100 (100.0%) missing valuesMissing
starch_100g has 100 (100.0%) missing valuesMissing
polyols_100g has 100 (100.0%) missing valuesMissing
fiber_100g has 14 (14.0%) missing valuesMissing
proteins_100g has 11 (11.0%) missing valuesMissing
casein_100g has 100 (100.0%) missing valuesMissing
serum-proteins_100g has 100 (100.0%) missing valuesMissing
nucleotides_100g has 100 (100.0%) missing valuesMissing
salt_100g has 40 (40.0%) missing valuesMissing
sodium_100g has 40 (40.0%) missing valuesMissing
alcohol_100g has 100 (100.0%) missing valuesMissing
vitamin-a_100g has 83 (83.0%) missing valuesMissing
beta-carotene_100g has 100 (100.0%) missing valuesMissing
vitamin-d_100g has 100 (100.0%) missing valuesMissing
vitamin-e_100g has 100 (100.0%) missing valuesMissing
vitamin-k_100g has 100 (100.0%) missing valuesMissing
vitamin-c_100g has 80 (80.0%) missing valuesMissing
vitamin-b1_100g has 100 (100.0%) missing valuesMissing
vitamin-b2_100g has 100 (100.0%) missing valuesMissing
vitamin-pp_100g has 100 (100.0%) missing valuesMissing
vitamin-b6_100g has 100 (100.0%) missing valuesMissing
vitamin-b9_100g has 100 (100.0%) missing valuesMissing
folates_100g has 100 (100.0%) missing valuesMissing
vitamin-b12_100g has 100 (100.0%) missing valuesMissing
biotin_100g has 100 (100.0%) missing valuesMissing
pantothenic-acid_100g has 100 (100.0%) missing valuesMissing
silica_100g has 100 (100.0%) missing valuesMissing
bicarbonate_100g has 100 (100.0%) missing valuesMissing
potassium_100g has 100 (100.0%) missing valuesMissing
chloride_100g has 100 (100.0%) missing valuesMissing
calcium_100g has 35 (35.0%) missing valuesMissing
phosphorus_100g has 100 (100.0%) missing valuesMissing
iron_100g has 18 (18.0%) missing valuesMissing
magnesium_100g has 100 (100.0%) missing valuesMissing
zinc_100g has 100 (100.0%) missing valuesMissing
copper_100g has 100 (100.0%) missing valuesMissing
manganese_100g has 100 (100.0%) missing valuesMissing
fluoride_100g has 100 (100.0%) missing valuesMissing
selenium_100g has 100 (100.0%) missing valuesMissing
chromium_100g has 100 (100.0%) missing valuesMissing
molybdenum_100g has 100 (100.0%) missing valuesMissing
iodine_100g has 100 (100.0%) missing valuesMissing
caffeine_100g has 100 (100.0%) missing valuesMissing
taurine_100g has 100 (100.0%) missing valuesMissing
ph_100g has 100 (100.0%) missing valuesMissing
fruits-vegetables-nuts_100g has 100 (100.0%) missing valuesMissing
collagen-meat-protein-ratio_100g has 100 (100.0%) missing valuesMissing
cocoa_100g has 100 (100.0%) missing valuesMissing
chlorophyl_100g has 100 (100.0%) missing valuesMissing
carbon-footprint_100g has 100 (100.0%) missing valuesMissing
nutrition-score-fr_100g has 63 (63.0%) missing valuesMissing
nutrition-score-uk_100g has 63 (63.0%) missing valuesMissing
glycemic-index_100g has 100 (100.0%) missing valuesMissing
water-hardness_100g has 100 (100.0%) missing valuesMissing
url is uniformly distributedUniform
product_name is uniformly distributedUniform
quantity is uniformly distributedUniform
ingredients_text is uniformly distributedUniform
additives is uniformly distributedUniform
image_url is uniformly distributedUniform
image_small_url is uniformly distributedUniform
code has unique valuesUnique
url has unique valuesUnique
generic_name is an unsupported type, check if it needs cleaning or further analysisUnsupported
origins is an unsupported type, check if it needs cleaning or further analysisUnsupported
origins_tags is an unsupported type, check if it needs cleaning or further analysisUnsupported
manufacturing_places is an unsupported type, check if it needs cleaning or further analysisUnsupported
manufacturing_places_tags is an unsupported type, check if it needs cleaning or further analysisUnsupported
labels is an unsupported type, check if it needs cleaning or further analysisUnsupported
labels_tags is an unsupported type, check if it needs cleaning or further analysisUnsupported
labels_fr is an unsupported type, check if it needs cleaning or further analysisUnsupported
emb_codes is an unsupported type, check if it needs cleaning or further analysisUnsupported
emb_codes_tags is an unsupported type, check if it needs cleaning or further analysisUnsupported
first_packaging_code_geo is an unsupported type, check if it needs cleaning or further analysisUnsupported
cities is an unsupported type, check if it needs cleaning or further analysisUnsupported
cities_tags is an unsupported type, check if it needs cleaning or further analysisUnsupported
purchase_places is an unsupported type, check if it needs cleaning or further analysisUnsupported
stores is an unsupported type, check if it needs cleaning or further analysisUnsupported
allergens is an unsupported type, check if it needs cleaning or further analysisUnsupported
allergens_fr is an unsupported type, check if it needs cleaning or further analysisUnsupported
no_nutriments is an unsupported type, check if it needs cleaning or further analysisUnsupported
ingredients_from_palm_oil is an unsupported type, check if it needs cleaning or further analysisUnsupported
ingredients_from_palm_oil_tags is an unsupported type, check if it needs cleaning or further analysisUnsupported
ingredients_that_may_be_from_palm_oil is an unsupported type, check if it needs cleaning or further analysisUnsupported
nutrition_grade_uk is an unsupported type, check if it needs cleaning or further analysisUnsupported
energy-from-fat_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
butyric-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
caproic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
caprylic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
capric-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
lauric-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
myristic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
palmitic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
stearic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
arachidic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
behenic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
lignoceric-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
cerotic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
montanic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
melissic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
monounsaturated-fat_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
polyunsaturated-fat_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
omega-3-fat_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
alpha-linolenic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
eicosapentaenoic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
docosahexaenoic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
omega-6-fat_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
linoleic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
arachidonic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
gamma-linolenic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
dihomo-gamma-linolenic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
omega-9-fat_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
oleic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
elaidic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
gondoic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
mead-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
erucic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
nervonic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
sucrose_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
glucose_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
fructose_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
lactose_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
maltose_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
maltodextrins_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
starch_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
polyols_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
casein_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
serum-proteins_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
nucleotides_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
alcohol_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
beta-carotene_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-d_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-e_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-k_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-b1_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-b2_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-pp_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-b6_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-b9_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
folates_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-b12_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
biotin_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
pantothenic-acid_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
silica_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
bicarbonate_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
potassium_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
chloride_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
phosphorus_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
magnesium_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
zinc_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
copper_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
manganese_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
fluoride_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
selenium_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
chromium_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
molybdenum_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
iodine_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
caffeine_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
taurine_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
ph_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
fruits-vegetables-nuts_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
collagen-meat-protein-ratio_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
cocoa_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
chlorophyl_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
carbon-footprint_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
glycemic-index_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
water-hardness_100g is an unsupported type, check if it needs cleaning or further analysisUnsupported
vitamin-a_100g has 4 (4.0%) zerosZeros
vitamin-c_100g has 3 (3.0%) zerosZeros
nutrition-score-fr_100g has 5 (5.0%) zerosZeros
nutrition-score-uk_100g has 5 (5.0%) zerosZeros

Reproduction

Analysis started2023-09-19 18:42:27.240657
Analysis finished2023-09-19 18:42:54.476318
Duration27.24 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

code
Real number (ℝ)

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25447.3
Minimum3087
Maximum35286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:42:54.528181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3087
5-th percentile16099.7
Q118367.5
median30289
Q333576.25
95-th percentile34784.35
Maximum35286
Range32199
Interquartile range (IQR)15208.75

Descriptive statistics

Standard deviation8347.4299
Coefficient of variation (CV)0.32802812
Kurtosis-0.89602298
Mean25447.3
Median Absolute Deviation (MAD)4831.5
Skewness-0.42065046
Sum2544730
Variance69679586
MonotonicityStrictly increasing
2023-09-19T20:42:54.605839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3087 1
 
1.0%
31288 1
 
1.0%
33503 1
 
1.0%
33268 1
 
1.0%
33084 1
 
1.0%
33060 1
 
1.0%
33015 1
 
1.0%
32896 1
 
1.0%
32858 1
 
1.0%
32384 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
3087 1
1.0%
4530 1
1.0%
4559 1
1.0%
16087 1
1.0%
16094 1
1.0%
16100 1
1.0%
16117 1
1.0%
16124 1
1.0%
16193 1
1.0%
16513 1
1.0%
ValueCountFrequency (%)
35286 1
1.0%
35279 1
1.0%
35170 1
1.0%
35071 1
1.0%
34791 1
1.0%
34784 1
1.0%
34715 1
1.0%
34623 1
1.0%
34562 1
1.0%
34548 1
1.0%

url
Categorical

HIGH CARDINALITY  UNIFORM  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
http://world-fr.openfoodfacts.org/produit/0000000003087/farine-de-ble-noir-ferme-t-y-r-nao
 
1
http://world-fr.openfoodfacts.org/produit/0000000031288/rebel-crunch-granola-pcc
 
1
http://world-fr.openfoodfacts.org/produit/0000000033503/organic-refined-unbleached-white-flour-unfi
 
1
http://world-fr.openfoodfacts.org/produit/0000000033268/sweeteners-organic-fair-trade-sugar-wholesome
 
1
http://world-fr.openfoodfacts.org/produit/0000000033084/fine-sea-salt-unfi
 
1
Other values (95)
95 

Length

Max length120
Median length99
Mean length89.71
Min length55

Characters and Unicode

Total characters8971
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowhttp://world-fr.openfoodfacts.org/produit/0000000003087/farine-de-ble-noir-ferme-t-y-r-nao
2nd rowhttp://world-fr.openfoodfacts.org/produit/0000000004530/banana-chips-sweetened-whole
3rd rowhttp://world-fr.openfoodfacts.org/produit/0000000004559/peanuts-torn-glasser
4th rowhttp://world-fr.openfoodfacts.org/produit/0000000016087/organic-salted-nut-mix-grizzlies
5th rowhttp://world-fr.openfoodfacts.org/produit/0000000016094/organic-polenta-bob-s-red-mill

Common Values

ValueCountFrequency (%)
http://world-fr.openfoodfacts.org/produit/0000000003087/farine-de-ble-noir-ferme-t-y-r-nao 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000031288/rebel-crunch-granola-pcc 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000033503/organic-refined-unbleached-white-flour-unfi 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000033268/sweeteners-organic-fair-trade-sugar-wholesome 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000033084/fine-sea-salt-unfi 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000033060/10-grain-pancake-mix-bob-s-red-mill 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000033015/organic-refined-spelt-flour-vitaspelt 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000032896/orzo-rosa-marina-sunridge 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000032858/organic-spaghetti-gardentime 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000032384/organic-couscous-unfi 1
 
1.0%
Other values (90) 90
90.0%

Length

2023-09-19T20:42:54.689599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
http://world-fr.openfoodfacts.org/produit/0000000003087/farine-de-ble-noir-ferme-t-y-r-nao 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000016872/zen-party-mix-sunridge 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000004559/peanuts-torn-glasser 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000016087/organic-salted-nut-mix-grizzlies 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000016094/organic-polenta-bob-s-red-mill 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000016100/breadshop-honey-gone-nuts-granola-unfi 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000016117/organic-long-grain-white-rice-lundberg 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000016124/organic-muesli-daddy-s-muesli 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000016193/organic-dark-chocolate-minis-equal-exchange 1
 
1.0%
http://world-fr.openfoodfacts.org/produit/0000000016513/organic-sunflower-oil-napa-valley-naturals 1
 
1.0%
Other values (90) 90
90.0%

Most occurring characters

ValueCountFrequency (%)
0 849
 
9.5%
o 805
 
9.0%
r 643
 
7.2%
t 525
 
5.9%
- 521
 
5.8%
/ 499
 
5.6%
d 412
 
4.6%
e 390
 
4.3%
a 386
 
4.3%
n 374
 
4.2%
Other values (30) 3567
39.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6346
70.7%
Decimal Number 1305
 
14.5%
Other Punctuation 799
 
8.9%
Dash Punctuation 521
 
5.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 805
12.7%
r 643
 
10.1%
t 525
 
8.3%
d 412
 
6.5%
e 390
 
6.1%
a 386
 
6.1%
n 374
 
5.9%
f 362
 
5.7%
p 360
 
5.7%
i 331
 
5.2%
Other values (16) 1758
27.7%
Decimal Number
ValueCountFrequency (%)
0 849
65.1%
3 90
 
6.9%
1 79
 
6.1%
8 58
 
4.4%
4 49
 
3.8%
5 46
 
3.5%
6 38
 
2.9%
2 37
 
2.8%
7 37
 
2.8%
9 22
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 499
62.5%
. 200
25.0%
: 100
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 521
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6346
70.7%
Common 2625
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 805
12.7%
r 643
 
10.1%
t 525
 
8.3%
d 412
 
6.5%
e 390
 
6.1%
a 386
 
6.1%
n 374
 
5.9%
f 362
 
5.7%
p 360
 
5.7%
i 331
 
5.2%
Other values (16) 1758
27.7%
Common
ValueCountFrequency (%)
0 849
32.3%
- 521
19.8%
/ 499
19.0%
. 200
 
7.6%
: 100
 
3.8%
3 90
 
3.4%
1 79
 
3.0%
8 58
 
2.2%
4 49
 
1.9%
5 46
 
1.8%
Other values (4) 134
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 849
 
9.5%
o 805
 
9.0%
r 643
 
7.2%
t 525
 
5.9%
- 521
 
5.8%
/ 499
 
5.6%
d 412
 
4.6%
e 390
 
4.3%
a 386
 
4.3%
n 374
 
4.2%
Other values (30) 3567
39.8%

creator
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
usda-ndb-import
96 
openfoodfacts-contributors
 
1
date-limite-app
 
1
canieatthis-app
 
1
tacinte
 
1

Length

Max length26
Median length15
Mean length15.03
Min length7

Characters and Unicode

Total characters1503
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st rowopenfoodfacts-contributors
2nd rowusda-ndb-import
3rd rowusda-ndb-import
4th rowusda-ndb-import
5th rowusda-ndb-import

Common Values

ValueCountFrequency (%)
usda-ndb-import 96
96.0%
openfoodfacts-contributors 1
 
1.0%
date-limite-app 1
 
1.0%
canieatthis-app 1
 
1.0%
tacinte 1
 
1.0%

Length

2023-09-19T20:42:54.762489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:54.826212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
usda-ndb-import 96
96.0%
openfoodfacts-contributors 1
 
1.0%
date-limite-app 1
 
1.0%
canieatthis-app 1
 
1.0%
tacinte 1
 
1.0%

Most occurring characters

ValueCountFrequency (%)
- 196
13.0%
d 194
12.9%
t 105
 
7.0%
a 103
 
6.9%
i 102
 
6.8%
p 101
 
6.7%
o 101
 
6.7%
n 100
 
6.7%
s 99
 
6.6%
r 98
 
6.5%
Other values (8) 304
20.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1307
87.0%
Dash Punctuation 196
 
13.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 194
14.8%
t 105
8.0%
a 103
7.9%
i 102
7.8%
p 101
7.7%
o 101
7.7%
n 100
7.7%
s 99
7.6%
r 98
7.5%
u 97
7.4%
Other values (7) 207
15.8%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1307
87.0%
Common 196
 
13.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 194
14.8%
t 105
8.0%
a 103
7.9%
i 102
7.8%
p 101
7.7%
o 101
7.7%
n 100
7.7%
s 99
7.6%
r 98
7.5%
u 97
7.4%
Other values (7) 207
15.8%
Common
ValueCountFrequency (%)
- 196
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1503
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 196
13.0%
d 194
12.9%
t 105
 
7.0%
a 103
 
6.9%
i 102
 
6.8%
p 101
 
6.7%
o 101
 
6.7%
n 100
 
6.7%
s 99
 
6.6%
r 98
 
6.5%
Other values (8) 304
20.2%

created_t
Real number (ℝ)

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.487891 × 109
Minimum1.4345307 × 109
Maximum1.4891385 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:42:54.891378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4345307 × 109
5-th percentile1.4890504 × 109
Q11.4890557 × 109
median1.4890557 × 109
Q31.4890557 × 109
95-th percentile1.4891385 × 109
Maximum1.4891385 × 109
Range54607784
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation6585824.3
Coefficient of variation (CV)0.0044262815
Kurtosis48.119128
Mean1.487891 × 109
Median Absolute Deviation (MAD)28.5
Skewness-6.6508234
Sum1.487891 × 1011
Variance4.3373082 × 1013
MonotonicityNot monotonic
2023-09-19T20:42:54.965658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1489055678 7
 
7.0%
1489055651 5
 
5.0%
1489055652 5
 
5.0%
1489055720 5
 
5.0%
1489055731 5
 
5.0%
1489055649 4
 
4.0%
1489055653 3
 
3.0%
1489055721 3
 
3.0%
1489138488 3
 
3.0%
1489055667 3
 
3.0%
Other values (36) 57
57.0%
ValueCountFrequency (%)
1434530704 1
 
1.0%
1458238630 1
 
1.0%
1472223782 1
 
1.0%
1474103866 1
 
1.0%
1489050424 2
 
2.0%
1489050461 2
 
2.0%
1489050462 3
3.0%
1489055649 4
4.0%
1489055650 2
 
2.0%
1489055651 5
5.0%
ValueCountFrequency (%)
1489138488 3
3.0%
1489138487 1
 
1.0%
1489138486 1
 
1.0%
1489138485 2
 
2.0%
1489138484 1
 
1.0%
1489069957 2
 
2.0%
1489055734 2
 
2.0%
1489055733 1
 
1.0%
1489055731 5
5.0%
1489055730 3
3.0%

created_datetime
Categorical

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2017-03-09T10:34:38Z
 
7
2017-03-09T10:34:11Z
 
5
2017-03-09T10:34:12Z
 
5
2017-03-09T10:35:20Z
 
5
2017-03-09T10:35:31Z
 
5
Other values (41)
73 

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)19.0%

Sample

1st row2016-09-17T09:17:46Z
2nd row2017-03-09T14:32:37Z
3rd row2017-03-09T14:32:37Z
4th row2017-03-09T10:35:31Z
5th row2017-03-09T10:34:13Z

Common Values

ValueCountFrequency (%)
2017-03-09T10:34:38Z 7
 
7.0%
2017-03-09T10:34:11Z 5
 
5.0%
2017-03-09T10:34:12Z 5
 
5.0%
2017-03-09T10:35:20Z 5
 
5.0%
2017-03-09T10:35:31Z 5
 
5.0%
2017-03-09T10:34:09Z 4
 
4.0%
2017-03-09T10:34:13Z 3
 
3.0%
2017-03-09T10:35:21Z 3
 
3.0%
2017-03-10T09:34:48Z 3
 
3.0%
2017-03-09T10:34:27Z 3
 
3.0%
Other values (36) 57
57.0%

Length

2023-09-19T20:42:55.032583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-03-09t10:34:38z 7
 
7.0%
2017-03-09t10:34:12z 5
 
5.0%
2017-03-09t10:35:20z 5
 
5.0%
2017-03-09t10:35:31z 5
 
5.0%
2017-03-09t10:34:11z 5
 
5.0%
2017-03-09t10:34:09z 4
 
4.0%
2017-03-09t09:07:42z 3
 
3.0%
2017-03-09t10:35:11z 3
 
3.0%
2017-03-09t10:34:14z 3
 
3.0%
2017-03-09t10:35:30z 3
 
3.0%
Other values (36) 57
57.0%

Most occurring characters

ValueCountFrequency (%)
0 426
21.3%
1 245
12.2%
3 213
10.7%
- 200
10.0%
: 200
10.0%
2 134
 
6.7%
7 116
 
5.8%
9 111
 
5.5%
T 100
 
5.0%
Z 100
 
5.0%
Other values (4) 155
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1400
70.0%
Dash Punctuation 200
 
10.0%
Other Punctuation 200
 
10.0%
Uppercase Letter 200
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
30.4%
1 245
17.5%
3 213
15.2%
2 134
 
9.6%
7 116
 
8.3%
9 111
 
7.9%
4 78
 
5.6%
5 50
 
3.6%
8 18
 
1.3%
6 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
T 100
50.0%
Z 100
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Other Punctuation
ValueCountFrequency (%)
: 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1800
90.0%
Latin 200
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 426
23.7%
1 245
13.6%
3 213
11.8%
- 200
11.1%
: 200
11.1%
2 134
 
7.4%
7 116
 
6.4%
9 111
 
6.2%
4 78
 
4.3%
5 50
 
2.8%
Other values (2) 27
 
1.5%
Latin
ValueCountFrequency (%)
T 100
50.0%
Z 100
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 426
21.3%
1 245
12.2%
3 213
10.7%
- 200
10.0%
: 200
10.0%
2 134
 
6.7%
7 116
 
5.8%
9 111
 
5.5%
T 100
 
5.0%
Z 100
 
5.0%
Other values (4) 155
 
7.8%

last_modified_t
Real number (ℝ)

Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.487891 × 109
Minimum1.4345359 × 109
Maximum1.4891385 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:42:55.096891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4345359 × 109
5-th percentile1.4890504 × 109
Q11.4890557 × 109
median1.4890557 × 109
Q31.4890557 × 109
95-th percentile1.4891385 × 109
Maximum1.4891385 × 109
Range54602574
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation6585397
Coefficient of variation (CV)0.0044259942
Kurtosis48.11457
Mean1.487891 × 109
Median Absolute Deviation (MAD)29
Skewness-6.6505352
Sum1.487891 × 1011
Variance4.3367454 × 1013
MonotonicityNot monotonic
2023-09-19T20:42:55.170713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1489055678 7
 
7.0%
1489055651 5
 
5.0%
1489055720 5
 
5.0%
1489055652 5
 
5.0%
1489050462 4
 
4.0%
1489055731 4
 
4.0%
1489055653 4
 
4.0%
1489138488 3
 
3.0%
1489055721 3
 
3.0%
1489055668 3
 
3.0%
Other values (40) 57
57.0%
ValueCountFrequency (%)
1434535914 1
 
1.0%
1458238638 1
 
1.0%
1472223782 1
 
1.0%
1474103893 1
 
1.0%
1489050424 1
 
1.0%
1489050425 1
 
1.0%
1489050461 1
 
1.0%
1489050462 4
4.0%
1489055649 3
3.0%
1489055650 2
2.0%
ValueCountFrequency (%)
1489138488 3
3.0%
1489138487 1
 
1.0%
1489138486 2
2.0%
1489138485 1
 
1.0%
1489138484 1
 
1.0%
1489069957 2
2.0%
1489055735 1
 
1.0%
1489055734 2
2.0%
1489055732 1
 
1.0%
1489055731 4
4.0%
Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2017-03-09T10:34:38Z
 
7
2017-03-09T10:34:11Z
 
5
2017-03-09T10:35:20Z
 
5
2017-03-09T10:34:12Z
 
5
2017-03-09T09:07:42Z
 
4
Other values (45)
74 

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)25.0%

Sample

1st row2016-09-17T09:18:13Z
2nd row2017-03-09T14:32:37Z
3rd row2017-03-09T14:32:37Z
4th row2017-03-09T10:35:31Z
5th row2017-03-09T10:34:13Z

Common Values

ValueCountFrequency (%)
2017-03-09T10:34:38Z 7
 
7.0%
2017-03-09T10:34:11Z 5
 
5.0%
2017-03-09T10:35:20Z 5
 
5.0%
2017-03-09T10:34:12Z 5
 
5.0%
2017-03-09T09:07:42Z 4
 
4.0%
2017-03-09T10:35:31Z 4
 
4.0%
2017-03-09T10:34:13Z 4
 
4.0%
2017-03-10T09:34:48Z 3
 
3.0%
2017-03-09T10:35:21Z 3
 
3.0%
2017-03-09T10:34:28Z 3
 
3.0%
Other values (40) 57
57.0%

Length

2023-09-19T20:42:55.239009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-03-09t10:34:38z 7
 
7.0%
2017-03-09t10:35:20z 5
 
5.0%
2017-03-09t10:34:12z 5
 
5.0%
2017-03-09t10:34:11z 5
 
5.0%
2017-03-09t09:07:42z 4
 
4.0%
2017-03-09t10:35:31z 4
 
4.0%
2017-03-09t10:34:13z 4
 
4.0%
2017-03-09t10:34:09z 3
 
3.0%
2017-03-09t10:35:30z 3
 
3.0%
2017-03-09t10:34:28z 3
 
3.0%
Other values (40) 57
57.0%

Most occurring characters

ValueCountFrequency (%)
0 423
21.1%
1 246
12.3%
3 215
10.8%
- 200
10.0%
: 200
10.0%
2 137
 
6.9%
7 115
 
5.8%
9 110
 
5.5%
T 100
 
5.0%
Z 100
 
5.0%
Other values (4) 154
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1400
70.0%
Dash Punctuation 200
 
10.0%
Other Punctuation 200
 
10.0%
Uppercase Letter 200
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 423
30.2%
1 246
17.6%
3 215
15.4%
2 137
 
9.8%
7 115
 
8.2%
9 110
 
7.9%
4 74
 
5.3%
5 51
 
3.6%
8 20
 
1.4%
6 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
T 100
50.0%
Z 100
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Other Punctuation
ValueCountFrequency (%)
: 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1800
90.0%
Latin 200
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 423
23.5%
1 246
13.7%
3 215
11.9%
- 200
11.1%
: 200
11.1%
2 137
 
7.6%
7 115
 
6.4%
9 110
 
6.1%
4 74
 
4.1%
5 51
 
2.8%
Other values (2) 29
 
1.6%
Latin
ValueCountFrequency (%)
T 100
50.0%
Z 100
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 423
21.1%
1 246
12.3%
3 215
10.8%
- 200
10.0%
: 200
10.0%
2 137
 
6.9%
7 115
 
5.8%
9 110
 
5.5%
T 100
 
5.0%
Z 100
 
5.0%
Other values (4) 154
 
7.7%

product_name
Categorical

HIGH CARDINALITY  UNIFORM 

Distinct99
Distinct (%)100.0%
Missing1
Missing (%)1.0%
Memory size928.0 B
Farine de blé noir
 
1
Rebel Crunch Granola
 
1
Organic Refined Unbleached White Flour
 
1
Sweeteners, Organic Fair Trade Sugar
 
1
Fine Sea Salt
 
1
Other values (94)
94 

Length

Max length44
Median length33
Mean length25.030303
Min length7

Characters and Unicode

Total characters2478
Distinct characters64
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)100.0%

Sample

1st rowFarine de blé noir
2nd rowBanana Chips Sweetened (Whole)
3rd rowPeanuts
4th rowOrganic Salted Nut Mix
5th rowOrganic Polenta

Common Values

ValueCountFrequency (%)
Farine de blé noir 1
 
1.0%
Rebel Crunch Granola 1
 
1.0%
Organic Refined Unbleached White Flour 1
 
1.0%
Sweeteners, Organic Fair Trade Sugar 1
 
1.0%
Fine Sea Salt 1
 
1.0%
10-Grain Pancake Mix 1
 
1.0%
Organic Refined Spelt Flour 1
 
1.0%
Orzo Rosa Marina 1
 
1.0%
Organic Spaghetti 1
 
1.0%
Organic Couscous 1
 
1.0%
Other values (89) 89
89.0%

Length

2023-09-19T20:42:55.312465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
organic 59
 
15.5%
granola 14
 
3.7%
mix 10
 
2.6%
whole 8
 
2.1%
beans 7
 
1.8%
seeds 7
 
1.8%
flour 7
 
1.8%
coconut 6
 
1.6%
roasted 6
 
1.6%
5
 
1.3%
Other values (166) 251
66.1%

Most occurring characters

ValueCountFrequency (%)
281
 
11.3%
a 219
 
8.8%
e 198
 
8.0%
n 191
 
7.7%
r 167
 
6.7%
i 154
 
6.2%
o 116
 
4.7%
l 101
 
4.1%
c 88
 
3.6%
s 84
 
3.4%
Other values (54) 879
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1801
72.7%
Uppercase Letter 370
 
14.9%
Space Separator 281
 
11.3%
Other Punctuation 15
 
0.6%
Decimal Number 5
 
0.2%
Dash Punctuation 4
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 219
12.2%
e 198
11.0%
n 191
10.6%
r 167
9.3%
i 154
 
8.6%
o 116
 
6.4%
l 101
 
5.6%
c 88
 
4.9%
s 84
 
4.7%
t 83
 
4.6%
Other values (17) 400
22.2%
Uppercase Letter
ValueCountFrequency (%)
O 65
17.6%
S 44
11.9%
C 29
 
7.8%
G 28
 
7.6%
R 25
 
6.8%
B 24
 
6.5%
M 24
 
6.5%
F 22
 
5.9%
P 18
 
4.9%
W 18
 
4.9%
Other values (14) 73
19.7%
Decimal Number
ValueCountFrequency (%)
1 1
20.0%
5 1
20.0%
3 1
20.0%
0 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 8
53.3%
& 3
 
20.0%
' 2
 
13.3%
% 2
 
13.3%
Space Separator
ValueCountFrequency (%)
281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2171
87.6%
Common 307
 
12.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 219
 
10.1%
e 198
 
9.1%
n 191
 
8.8%
r 167
 
7.7%
i 154
 
7.1%
o 116
 
5.3%
l 101
 
4.7%
c 88
 
4.1%
s 84
 
3.9%
t 83
 
3.8%
Other values (41) 770
35.5%
Common
ValueCountFrequency (%)
281
91.5%
, 8
 
2.6%
- 4
 
1.3%
& 3
 
1.0%
' 2
 
0.7%
% 2
 
0.7%
1 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
5 1
 
0.3%
Other values (3) 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2476
99.9%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
 
11.3%
a 219
 
8.8%
e 198
 
8.0%
n 191
 
7.7%
r 167
 
6.7%
i 154
 
6.2%
o 116
 
4.7%
l 101
 
4.1%
c 88
 
3.6%
s 84
 
3.4%
Other values (52) 877
35.4%
None
ValueCountFrequency (%)
Å“ 1
50.0%
é 1
50.0%

generic_name
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

quantity
Categorical

MISSING  UNIFORM 

Distinct3
Distinct (%)100.0%
Missing97
Missing (%)97.0%
Memory size928.0 B
1kg
2.46 kg
230g

Length

Max length7
Median length4
Mean length4.6666667
Min length3

Characters and Unicode

Total characters14
Distinct characters10
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row1kg
2nd row2.46 kg
3rd row230g

Common Values

ValueCountFrequency (%)
1kg 1
 
1.0%
2.46 kg 1
 
1.0%
230g 1
 
1.0%
(Missing) 97
97.0%

Length

2023-09-19T20:42:55.495081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:55.553954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1kg 1
25.0%
2.46 1
25.0%
kg 1
25.0%
230g 1
25.0%

Most occurring characters

ValueCountFrequency (%)
g 3
21.4%
k 2
14.3%
2 2
14.3%
1 1
 
7.1%
. 1
 
7.1%
4 1
 
7.1%
6 1
 
7.1%
1
 
7.1%
3 1
 
7.1%
0 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7
50.0%
Lowercase Letter 5
35.7%
Other Punctuation 1
 
7.1%
Space Separator 1
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2
28.6%
1 1
14.3%
4 1
14.3%
6 1
14.3%
3 1
14.3%
0 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
g 3
60.0%
k 2
40.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9
64.3%
Latin 5
35.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2
22.2%
1 1
11.1%
. 1
11.1%
4 1
11.1%
6 1
11.1%
1
11.1%
3 1
11.1%
0 1
11.1%
Latin
ValueCountFrequency (%)
g 3
60.0%
k 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g 3
21.4%
k 2
14.3%
2 2
14.3%
1 1
 
7.1%
. 1
 
7.1%
4 1
 
7.1%
6 1
 
7.1%
1
 
7.1%
3 1
 
7.1%
0 1
 
7.1%

packaging
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
plastique

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowplastique

Common Values

ValueCountFrequency (%)
plastique 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:55.611004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:55.659927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
plastique 1
100.0%

Most occurring characters

ValueCountFrequency (%)
p 1
11.1%
l 1
11.1%
a 1
11.1%
s 1
11.1%
t 1
11.1%
i 1
11.1%
q 1
11.1%
u 1
11.1%
e 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 1
11.1%
l 1
11.1%
a 1
11.1%
s 1
11.1%
t 1
11.1%
i 1
11.1%
q 1
11.1%
u 1
11.1%
e 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 9
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 1
11.1%
l 1
11.1%
a 1
11.1%
s 1
11.1%
t 1
11.1%
i 1
11.1%
q 1
11.1%
u 1
11.1%
e 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 1
11.1%
l 1
11.1%
a 1
11.1%
s 1
11.1%
t 1
11.1%
i 1
11.1%
q 1
11.1%
u 1
11.1%
e 1
11.1%

packaging_tags
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
plastique

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowplastique

Common Values

ValueCountFrequency (%)
plastique 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:55.710244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:55.758052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
plastique 1
100.0%

Most occurring characters

ValueCountFrequency (%)
p 1
11.1%
l 1
11.1%
a 1
11.1%
s 1
11.1%
t 1
11.1%
i 1
11.1%
q 1
11.1%
u 1
11.1%
e 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 1
11.1%
l 1
11.1%
a 1
11.1%
s 1
11.1%
t 1
11.1%
i 1
11.1%
q 1
11.1%
u 1
11.1%
e 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 9
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 1
11.1%
l 1
11.1%
a 1
11.1%
s 1
11.1%
t 1
11.1%
i 1
11.1%
q 1
11.1%
u 1
11.1%
e 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 1
11.1%
l 1
11.1%
a 1
11.1%
s 1
11.1%
t 1
11.1%
i 1
11.1%
q 1
11.1%
u 1
11.1%
e 1
11.1%

brands
Categorical

Distinct31
Distinct (%)32.3%
Missing4
Missing (%)4.0%
Memory size928.0 B
Unfi
21 
Sunridge
13 
Grizzlies
Pcc
Golden Temple
 
4
Other values (26)
42 

Length

Max length32
Median length21
Mean length9.6458333
Min length3

Characters and Unicode

Total characters926
Distinct characters49
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)15.6%

Sample

1st rowFerme t'y R'nao
2nd rowTorn & Glasser
3rd rowGrizzlies
4th rowBob's Red Mill
5th rowUnfi

Common Values

ValueCountFrequency (%)
Unfi 21
21.0%
Sunridge 13
13.0%
Grizzlies 8
 
8.0%
Pcc 8
 
8.0%
Golden Temple 4
 
4.0%
Kettle, Kettle Foods 4
 
4.0%
Fairhaven 4
 
4.0%
Gardentime 3
 
3.0%
Napa Valley Naturals 2
 
2.0%
Vitaspelt 2
 
2.0%
Other values (21) 27
27.0%
(Missing) 4
 
4.0%

Length

2023-09-19T20:42:55.816726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
unfi 21
 
14.2%
sunridge 13
 
8.8%
grizzlies 8
 
5.4%
pcc 8
 
5.4%
kettle 8
 
5.4%
foods 5
 
3.4%
wholesome 4
 
2.7%
golden 4
 
2.7%
temple 4
 
2.7%
fairhaven 4
 
2.7%
Other values (47) 69
46.6%

Most occurring characters

ValueCountFrequency (%)
e 102
 
11.0%
i 75
 
8.1%
n 65
 
7.0%
58
 
6.3%
l 52
 
5.6%
r 49
 
5.3%
a 48
 
5.2%
d 44
 
4.8%
t 38
 
4.1%
o 35
 
3.8%
Other values (39) 360
38.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 710
76.7%
Uppercase Letter 146
 
15.8%
Space Separator 58
 
6.3%
Other Punctuation 12
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 102
14.4%
i 75
10.6%
n 65
 
9.2%
l 52
 
7.3%
r 49
 
6.9%
a 48
 
6.8%
d 44
 
6.2%
t 38
 
5.4%
o 35
 
4.9%
s 34
 
4.8%
Other values (15) 168
23.7%
Uppercase Letter
ValueCountFrequency (%)
U 21
14.4%
S 18
12.3%
G 18
12.3%
N 12
8.2%
F 12
8.2%
P 11
7.5%
K 10
 
6.8%
B 7
 
4.8%
E 5
 
3.4%
V 5
 
3.4%
Other values (10) 27
18.5%
Other Punctuation
ValueCountFrequency (%)
, 6
50.0%
' 5
41.7%
& 1
 
8.3%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 856
92.4%
Common 70
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 102
 
11.9%
i 75
 
8.8%
n 65
 
7.6%
l 52
 
6.1%
r 49
 
5.7%
a 48
 
5.6%
d 44
 
5.1%
t 38
 
4.4%
o 35
 
4.1%
s 34
 
4.0%
Other values (35) 314
36.7%
Common
ValueCountFrequency (%)
58
82.9%
, 6
 
8.6%
' 5
 
7.1%
& 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 926
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 102
 
11.0%
i 75
 
8.1%
n 65
 
7.0%
58
 
6.3%
l 52
 
5.6%
r 49
 
5.3%
a 48
 
5.2%
d 44
 
4.8%
t 38
 
4.1%
o 35
 
3.8%
Other values (39) 360
38.9%

brands_tags
Categorical

Distinct31
Distinct (%)32.3%
Missing4
Missing (%)4.0%
Memory size928.0 B
unfi
21 
sunridge
13 
grizzlies
pcc
golden-temple
 
4
Other values (26)
42 

Length

Max length30
Median length20
Mean length9.5
Min length3

Characters and Unicode

Total characters912
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)15.6%

Sample

1st rowferme-t-y-r-nao
2nd rowtorn-glasser
3rd rowgrizzlies
4th rowbob-s-red-mill
5th rowunfi

Common Values

ValueCountFrequency (%)
unfi 21
21.0%
sunridge 13
13.0%
grizzlies 8
 
8.0%
pcc 8
 
8.0%
golden-temple 4
 
4.0%
kettle,kettle-foods 4
 
4.0%
fairhaven 4
 
4.0%
gardentime 3
 
3.0%
napa-valley-naturals 2
 
2.0%
vitaspelt 2
 
2.0%
Other values (21) 27
27.0%
(Missing) 4
 
4.0%

Length

2023-09-19T20:42:55.889421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
unfi 21
21.9%
sunridge 13
13.5%
grizzlies 8
 
8.3%
pcc 8
 
8.3%
golden-temple 4
 
4.2%
kettle,kettle-foods 4
 
4.2%
fairhaven 4
 
4.2%
gardentime 3
 
3.1%
new-england-naturals 2
 
2.1%
bluebird-grain 2
 
2.1%
Other values (21) 27
28.1%

Most occurring characters

ValueCountFrequency (%)
e 107
 
11.7%
i 77
 
8.4%
n 77
 
8.4%
l 54
 
5.9%
r 53
 
5.8%
s 52
 
5.7%
- 50
 
5.5%
a 50
 
5.5%
u 45
 
4.9%
d 45
 
4.9%
Other values (18) 302
33.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 856
93.9%
Dash Punctuation 50
 
5.5%
Other Punctuation 6
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 107
12.5%
i 77
 
9.0%
n 77
 
9.0%
l 54
 
6.3%
r 53
 
6.2%
s 52
 
6.1%
a 50
 
5.8%
u 45
 
5.3%
d 45
 
5.3%
t 43
 
5.0%
Other values (16) 253
29.6%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 856
93.9%
Common 56
 
6.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 107
12.5%
i 77
 
9.0%
n 77
 
9.0%
l 54
 
6.3%
r 53
 
6.2%
s 52
 
6.1%
a 50
 
5.8%
u 45
 
5.3%
d 45
 
5.3%
t 43
 
5.0%
Other values (16) 253
29.6%
Common
ValueCountFrequency (%)
- 50
89.3%
, 6
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 107
 
11.7%
i 77
 
8.4%
n 77
 
8.4%
l 54
 
5.9%
r 53
 
5.8%
s 52
 
5.7%
- 50
 
5.5%
a 50
 
5.5%
u 45
 
4.9%
d 45
 
4.9%
Other values (18) 302
33.1%

categories
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
Filet de bœuf

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowFilet de bœuf

Common Values

ValueCountFrequency (%)
Filet de bœuf 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:55.953179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:56.001994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
filet 1
33.3%
de 1
33.3%
bœuf 1
33.3%

Most occurring characters

ValueCountFrequency (%)
e 2
15.4%
2
15.4%
F 1
7.7%
i 1
7.7%
l 1
7.7%
t 1
7.7%
d 1
7.7%
b 1
7.7%
Å“ 1
7.7%
u 1
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10
76.9%
Space Separator 2
 
15.4%
Uppercase Letter 1
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
i 1
10.0%
l 1
10.0%
t 1
10.0%
d 1
10.0%
b 1
10.0%
Å“ 1
10.0%
u 1
10.0%
f 1
10.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11
84.6%
Common 2
 
15.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2
18.2%
F 1
9.1%
i 1
9.1%
l 1
9.1%
t 1
9.1%
d 1
9.1%
b 1
9.1%
Å“ 1
9.1%
u 1
9.1%
f 1
9.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
92.3%
None 1
 
7.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2
16.7%
2
16.7%
F 1
8.3%
i 1
8.3%
l 1
8.3%
t 1
8.3%
d 1
8.3%
b 1
8.3%
u 1
8.3%
f 1
8.3%
None
ValueCountFrequency (%)
Å“ 1
100.0%

categories_tags
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
fr:filet-de-boeuf

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters17
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowfr:filet-de-boeuf

Common Values

ValueCountFrequency (%)
fr:filet-de-boeuf 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:56.054265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:56.100882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
fr:filet-de-boeuf 1
100.0%

Most occurring characters

ValueCountFrequency (%)
f 3
17.6%
e 3
17.6%
- 2
11.8%
r 1
 
5.9%
: 1
 
5.9%
i 1
 
5.9%
l 1
 
5.9%
t 1
 
5.9%
d 1
 
5.9%
b 1
 
5.9%
Other values (2) 2
11.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14
82.4%
Dash Punctuation 2
 
11.8%
Other Punctuation 1
 
5.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 3
21.4%
e 3
21.4%
r 1
 
7.1%
i 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
d 1
 
7.1%
b 1
 
7.1%
o 1
 
7.1%
u 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14
82.4%
Common 3
 
17.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 3
21.4%
e 3
21.4%
r 1
 
7.1%
i 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
d 1
 
7.1%
b 1
 
7.1%
o 1
 
7.1%
u 1
 
7.1%
Common
ValueCountFrequency (%)
- 2
66.7%
: 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 3
17.6%
e 3
17.6%
- 2
11.8%
r 1
 
5.9%
: 1
 
5.9%
i 1
 
5.9%
l 1
 
5.9%
t 1
 
5.9%
d 1
 
5.9%
b 1
 
5.9%
Other values (2) 2
11.8%

categories_fr
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
Filet-de-boeuf

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowFilet-de-boeuf

Common Values

ValueCountFrequency (%)
Filet-de-boeuf 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:56.152998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:56.199661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
filet-de-boeuf 1
100.0%

Most occurring characters

ValueCountFrequency (%)
e 3
21.4%
- 2
14.3%
F 1
 
7.1%
i 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
d 1
 
7.1%
b 1
 
7.1%
o 1
 
7.1%
u 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11
78.6%
Dash Punctuation 2
 
14.3%
Uppercase Letter 1
 
7.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
i 1
 
9.1%
l 1
 
9.1%
t 1
 
9.1%
d 1
 
9.1%
b 1
 
9.1%
o 1
 
9.1%
u 1
 
9.1%
f 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12
85.7%
Common 2
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3
25.0%
F 1
 
8.3%
i 1
 
8.3%
l 1
 
8.3%
t 1
 
8.3%
d 1
 
8.3%
b 1
 
8.3%
o 1
 
8.3%
u 1
 
8.3%
f 1
 
8.3%
Common
ValueCountFrequency (%)
- 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3
21.4%
- 2
14.3%
F 1
 
7.1%
i 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
d 1
 
7.1%
b 1
 
7.1%
o 1
 
7.1%
u 1
 
7.1%

origins
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

origins_tags
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

manufacturing_places
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

manufacturing_places_tags
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

labels
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

labels_tags
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

labels_fr
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

emb_codes
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

emb_codes_tags
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

first_packaging_code_geo
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

cities
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

cities_tags
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

purchase_places
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

stores
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

countries
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
US
96 
en:FR
 
2
France
 
1
en:GB
 
1

Length

Max length6
Median length2
Mean length2.13
Min length2

Characters and Unicode

Total characters213
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st rowen:FR
2nd rowUS
3rd rowUS
4th rowUS
5th rowUS

Common Values

ValueCountFrequency (%)
US 96
96.0%
en:FR 2
 
2.0%
France 1
 
1.0%
en:GB 1
 
1.0%

Length

2023-09-19T20:42:56.260727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:56.317202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
us 96
96.0%
en:fr 2
 
2.0%
france 1
 
1.0%
en:gb 1
 
1.0%

Most occurring characters

ValueCountFrequency (%)
U 96
45.1%
S 96
45.1%
e 4
 
1.9%
n 4
 
1.9%
: 3
 
1.4%
F 3
 
1.4%
R 2
 
0.9%
r 1
 
0.5%
a 1
 
0.5%
c 1
 
0.5%
Other values (2) 2
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 199
93.4%
Lowercase Letter 11
 
5.2%
Other Punctuation 3
 
1.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 96
48.2%
S 96
48.2%
F 3
 
1.5%
R 2
 
1.0%
G 1
 
0.5%
B 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
36.4%
n 4
36.4%
r 1
 
9.1%
a 1
 
9.1%
c 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
: 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 210
98.6%
Common 3
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 96
45.7%
S 96
45.7%
e 4
 
1.9%
n 4
 
1.9%
F 3
 
1.4%
R 2
 
1.0%
r 1
 
0.5%
a 1
 
0.5%
c 1
 
0.5%
G 1
 
0.5%
Common
ValueCountFrequency (%)
: 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 96
45.1%
S 96
45.1%
e 4
 
1.9%
n 4
 
1.9%
: 3
 
1.4%
F 3
 
1.4%
R 2
 
0.9%
r 1
 
0.5%
a 1
 
0.5%
c 1
 
0.5%
Other values (2) 2
 
0.9%

countries_tags
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
en:united-states
96 
en:france
 
3
en:united-kingdom
 
1

Length

Max length17
Median length16
Mean length15.8
Min length9

Characters and Unicode

Total characters1580
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowen:france
2nd rowen:united-states
3rd rowen:united-states
4th rowen:united-states
5th rowen:united-states

Common Values

ValueCountFrequency (%)
en:united-states 96
96.0%
en:france 3
 
3.0%
en:united-kingdom 1
 
1.0%

Length

2023-09-19T20:42:56.379345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:56.435202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
en:united-states 96
96.0%
en:france 3
 
3.0%
en:united-kingdom 1
 
1.0%

Most occurring characters

ValueCountFrequency (%)
e 296
18.7%
t 289
18.3%
n 201
12.7%
s 192
12.2%
: 100
 
6.3%
a 99
 
6.3%
i 98
 
6.2%
d 98
 
6.2%
u 97
 
6.1%
- 97
 
6.1%
Other values (7) 13
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1383
87.5%
Other Punctuation 100
 
6.3%
Dash Punctuation 97
 
6.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 296
21.4%
t 289
20.9%
n 201
14.5%
s 192
13.9%
a 99
 
7.2%
i 98
 
7.1%
d 98
 
7.1%
u 97
 
7.0%
f 3
 
0.2%
r 3
 
0.2%
Other values (5) 7
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1383
87.5%
Common 197
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 296
21.4%
t 289
20.9%
n 201
14.5%
s 192
13.9%
a 99
 
7.2%
i 98
 
7.1%
d 98
 
7.1%
u 97
 
7.0%
f 3
 
0.2%
r 3
 
0.2%
Other values (5) 7
 
0.5%
Common
ValueCountFrequency (%)
: 100
50.8%
- 97
49.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 296
18.7%
t 289
18.3%
n 201
12.7%
s 192
12.2%
: 100
 
6.3%
a 99
 
6.3%
i 98
 
6.2%
d 98
 
6.2%
u 97
 
6.1%
- 97
 
6.1%
Other values (7) 13
 
0.8%

countries_fr
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
États-Unis
96 
France
 
3
Royaume-Uni
 
1

Length

Max length11
Median length10
Mean length9.89
Min length6

Characters and Unicode

Total characters989
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowFrance
2nd rowÉtats-Unis
3rd rowÉtats-Unis
4th rowÉtats-Unis
5th rowÉtats-Unis

Common Values

ValueCountFrequency (%)
États-Unis 96
96.0%
France 3
 
3.0%
Royaume-Uni 1
 
1.0%

Length

2023-09-19T20:42:56.492118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:56.544532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
états-unis 96
96.0%
france 3
 
3.0%
royaume-uni 1
 
1.0%

Most occurring characters

ValueCountFrequency (%)
s 192
19.4%
t 192
19.4%
a 100
10.1%
n 100
10.1%
- 97
9.8%
U 97
9.8%
i 97
9.8%
É 96
9.7%
e 4
 
0.4%
c 3
 
0.3%
Other values (7) 11
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 695
70.3%
Uppercase Letter 197
 
19.9%
Dash Punctuation 97
 
9.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 192
27.6%
t 192
27.6%
a 100
14.4%
n 100
14.4%
i 97
14.0%
e 4
 
0.6%
c 3
 
0.4%
r 3
 
0.4%
o 1
 
0.1%
y 1
 
0.1%
Other values (2) 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
U 97
49.2%
É 96
48.7%
F 3
 
1.5%
R 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 892
90.2%
Common 97
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 192
21.5%
t 192
21.5%
a 100
11.2%
n 100
11.2%
U 97
10.9%
i 97
10.9%
É 96
10.8%
e 4
 
0.4%
c 3
 
0.3%
F 3
 
0.3%
Other values (6) 8
 
0.9%
Common
ValueCountFrequency (%)
- 97
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 893
90.3%
None 96
 
9.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 192
21.5%
t 192
21.5%
a 100
11.2%
n 100
11.2%
- 97
10.9%
U 97
10.9%
i 97
10.9%
e 4
 
0.4%
c 3
 
0.3%
F 3
 
0.3%
Other values (6) 8
 
0.9%
None
ValueCountFrequency (%)
É 96
100.0%

ingredients_text
Categorical

HIGH CARDINALITY  MISSING  UNIFORM 

Distinct96
Distinct (%)99.0%
Missing3
Missing (%)3.0%
Memory size928.0 B
Organic refined durum semolina wheat flour
 
2
Rolled oats, dates (may contain date pits), sunflower seeds and sesame seeds
 
1
Organic whole brown rice flour
 
1
Organic refined wheat flour (niacin, iron, thiamin mononitrate, riboflavin and folic acid).
 
1
Organic evaporated cane juice.
 
1
Other values (91)
91 

Length

Max length624
Median length205
Mean length112.18557
Min length15

Characters and Unicode

Total characters10882
Distinct characters62
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)97.9%

Sample

1st rowBananas, vegetable oil (coconut oil, corn oil and/or palm oil) sugar, natural banana flavor.
2nd rowPeanuts, wheat flour, sugar, rice flour, tapioca starch, salt, leavening (ammonium bicarbonate, baking soda), soy sauce (water, soybeans, wheat, salt), potato starch.
3rd rowOrganic hazelnuts, organic cashews, organic walnuts almonds, organic sunflower oil, sea salt.
4th rowOrganic polenta
5th rowRolled oats, grape concentrate, expeller pressed canola oil, sunflower seeds, almonds, walnuts oat bran, sesame seeds, cashews, natural vitamin e.

Common Values

ValueCountFrequency (%)
Organic refined durum semolina wheat flour 2
 
2.0%
Rolled oats, dates (may contain date pits), sunflower seeds and sesame seeds 1
 
1.0%
Organic whole brown rice flour 1
 
1.0%
Organic refined wheat flour (niacin, iron, thiamin mononitrate, riboflavin and folic acid). 1
 
1.0%
Organic evaporated cane juice. 1
 
1.0%
New zealand sea salt with natural trace elements. 1
 
1.0%
Wheat, rye, triticale, oat, corn, barley, soy bean, brown rice, and millet flours; flaxseed, buttermilk powder, non-aluminum baking powder (baking soda, sodium phosphate, cornstarch, and monocalcium phosphate), sea salt 1
 
1.0%
Organic refined spelt flour. 1
 
1.0%
Refined, enriched durum semolina wheat flour, thiamine, riboflavin, niacin, iron, folic acid 1
 
1.0%
Refined enriched durum semolina wheat, thiamine, riboflavin, niacin and iron 1
 
1.0%
Other values (86) 86
86.0%
(Missing) 3
 
3.0%

Length

2023-09-19T20:42:56.616717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
organic 156
 
10.6%
oil 47
 
3.2%
salt 43
 
2.9%
sunflower 29
 
2.0%
almonds 29
 
2.0%
org 28
 
1.9%
flour 24
 
1.6%
seeds 24
 
1.6%
wheat 23
 
1.6%
cane 22
 
1.5%
Other values (330) 1044
71.1%

Most occurring characters

ValueCountFrequency (%)
1372
12.6%
a 939
 
8.6%
e 926
 
8.5%
r 770
 
7.1%
o 696
 
6.4%
n 663
 
6.1%
s 621
 
5.7%
i 559
 
5.1%
l 539
 
5.0%
c 477
 
4.4%
Other values (52) 3320
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8709
80.0%
Space Separator 1372
 
12.6%
Other Punctuation 551
 
5.1%
Uppercase Letter 95
 
0.9%
Close Punctuation 63
 
0.6%
Open Punctuation 63
 
0.6%
Decimal Number 24
 
0.2%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 939
10.8%
e 926
10.6%
r 770
 
8.8%
o 696
 
8.0%
n 663
 
7.6%
s 621
 
7.1%
i 559
 
6.4%
l 539
 
6.2%
c 477
 
5.5%
t 423
 
4.9%
Other values (16) 2096
24.1%
Uppercase Letter
ValueCountFrequency (%)
O 56
58.9%
W 9
 
9.5%
R 6
 
6.3%
C 4
 
4.2%
P 4
 
4.2%
A 3
 
3.2%
D 3
 
3.2%
B 2
 
2.1%
H 2
 
2.1%
S 2
 
2.1%
Other values (4) 4
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 460
83.5%
. 70
 
12.7%
/ 15
 
2.7%
% 2
 
0.4%
; 2
 
0.4%
' 1
 
0.2%
& 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
4 6
25.0%
2 4
16.7%
1 4
16.7%
5 3
12.5%
7 3
12.5%
0 3
12.5%
8 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 52
82.5%
] 10
 
15.9%
} 1
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 52
82.5%
[ 10
 
15.9%
{ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
1372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8804
80.9%
Common 2078
 
19.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 939
10.7%
e 926
10.5%
r 770
 
8.7%
o 696
 
7.9%
n 663
 
7.5%
s 621
 
7.1%
i 559
 
6.3%
l 539
 
6.1%
c 477
 
5.4%
t 423
 
4.8%
Other values (30) 2191
24.9%
Common
ValueCountFrequency (%)
1372
66.0%
, 460
 
22.1%
. 70
 
3.4%
) 52
 
2.5%
( 52
 
2.5%
/ 15
 
0.7%
] 10
 
0.5%
[ 10
 
0.5%
4 6
 
0.3%
- 5
 
0.2%
Other values (12) 26
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1372
12.6%
a 939
 
8.6%
e 926
 
8.5%
r 770
 
7.1%
o 696
 
6.4%
n 663
 
6.1%
s 621
 
5.7%
i 559
 
5.1%
l 539
 
5.0%
c 477
 
4.4%
Other values (52) 3320
30.5%

allergens
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

allergens_fr
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

traces
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
milk, egg,

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters8
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowmilk, egg,

Common Values

ValueCountFrequency (%)
milk, egg, 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:56.686626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:56.734626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
milk 1
50.0%
egg 1
50.0%

Most occurring characters

ValueCountFrequency (%)
, 2
18.2%
2
18.2%
g 2
18.2%
m 1
9.1%
i 1
9.1%
l 1
9.1%
k 1
9.1%
e 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7
63.6%
Other Punctuation 2
 
18.2%
Space Separator 2
 
18.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 2
28.6%
m 1
14.3%
i 1
14.3%
l 1
14.3%
k 1
14.3%
e 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7
63.6%
Common 4
36.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 2
28.6%
m 1
14.3%
i 1
14.3%
l 1
14.3%
k 1
14.3%
e 1
14.3%
Common
ValueCountFrequency (%)
, 2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 2
18.2%
2
18.2%
g 2
18.2%
m 1
9.1%
i 1
9.1%
l 1
9.1%
k 1
9.1%
e 1
9.1%

traces_tags
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
en:eggs,en:milk

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowen:eggs,en:milk

Common Values

ValueCountFrequency (%)
en:eggs,en:milk 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:56.786141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:56.834430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
en:eggs,en:milk 1
100.0%

Most occurring characters

ValueCountFrequency (%)
e 3
20.0%
n 2
13.3%
: 2
13.3%
g 2
13.3%
s 1
 
6.7%
, 1
 
6.7%
m 1
 
6.7%
i 1
 
6.7%
l 1
 
6.7%
k 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12
80.0%
Other Punctuation 3
 
20.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
n 2
16.7%
g 2
16.7%
s 1
 
8.3%
m 1
 
8.3%
i 1
 
8.3%
l 1
 
8.3%
k 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
: 2
66.7%
, 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 12
80.0%
Common 3
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3
25.0%
n 2
16.7%
g 2
16.7%
s 1
 
8.3%
m 1
 
8.3%
i 1
 
8.3%
l 1
 
8.3%
k 1
 
8.3%
Common
ValueCountFrequency (%)
: 2
66.7%
, 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3
20.0%
n 2
13.3%
: 2
13.3%
g 2
13.3%
s 1
 
6.7%
, 1
 
6.7%
m 1
 
6.7%
i 1
 
6.7%
l 1
 
6.7%
k 1
 
6.7%

traces_fr
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
Å’ufs,Lait

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowÅ’ufs,Lait

Common Values

ValueCountFrequency (%)
Å’ufs,Lait 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:56.886734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:56.933083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
œufs,lait 1
100.0%

Most occurring characters

ValueCountFrequency (%)
Å’ 1
11.1%
u 1
11.1%
f 1
11.1%
s 1
11.1%
, 1
11.1%
L 1
11.1%
a 1
11.1%
i 1
11.1%
t 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6
66.7%
Uppercase Letter 2
 
22.2%
Other Punctuation 1
 
11.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 1
16.7%
f 1
16.7%
s 1
16.7%
a 1
16.7%
i 1
16.7%
t 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
Å’ 1
50.0%
L 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8
88.9%
Common 1
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
Å’ 1
12.5%
u 1
12.5%
f 1
12.5%
s 1
12.5%
L 1
12.5%
a 1
12.5%
i 1
12.5%
t 1
12.5%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8
88.9%
None 1
 
11.1%

Most frequent character per block

None
ValueCountFrequency (%)
Å’ 1
100.0%
ASCII
ValueCountFrequency (%)
u 1
12.5%
f 1
12.5%
s 1
12.5%
, 1
12.5%
L 1
12.5%
a 1
12.5%
i 1
12.5%
t 1
12.5%

serving_size
Categorical

Distinct40
Distinct (%)41.7%
Missing4
Missing (%)4.0%
Memory size928.0 B
30 g (0.25 cup)
12 
45 g (0.25 cup)
11 
28 g (0.25 cup)
10 
55 g (0.5 cup)
56 g (0.5 cup)
 
4
Other values (35)
50 

Length

Max length16
Median length15
Mean length14.270833
Min length11

Characters and Unicode

Total characters1370
Distinct characters31
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)24.0%

Sample

1st row28 g (1 ONZ)
2nd row28 g (0.25 cup)
3rd row28 g (0.25 cup)
4th row35 g (0.25 cup)
5th row52 g (0.5 cup)

Common Values

ValueCountFrequency (%)
30 g (0.25 cup) 12
 
12.0%
45 g (0.25 cup) 11
 
11.0%
28 g (0.25 cup) 10
 
10.0%
55 g (0.5 cup) 9
 
9.0%
56 g (0.5 cup) 4
 
4.0%
36 g (0.25 cup) 3
 
3.0%
47 g (0.25 cup) 3
 
3.0%
30 g (30 g) 3
 
3.0%
35 g (0.25 cup) 2
 
2.0%
14 ml (1 Tbsp) 2
 
2.0%
Other values (30) 37
37.0%
(Missing) 4
 
4.0%

Length

2023-09-19T20:42:56.987501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
g 99
25.8%
cup 75
19.5%
0.25 55
14.3%
0.5 22
 
5.7%
30 18
 
4.7%
28 14
 
3.6%
45 13
 
3.4%
1 9
 
2.3%
55 9
 
2.3%
40 6
 
1.6%
Other values (35) 64
16.7%

Most occurring characters

ValueCountFrequency (%)
288
21.0%
5 128
9.3%
0 106
 
7.7%
g 99
 
7.2%
( 96
 
7.0%
) 96
 
7.0%
p 85
 
6.2%
. 82
 
6.0%
2 77
 
5.6%
c 75
 
5.5%
Other values (21) 238
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 431
31.5%
Lowercase Letter 366
26.7%
Space Separator 288
21.0%
Open Punctuation 96
 
7.0%
Close Punctuation 96
 
7.0%
Other Punctuation 82
 
6.0%
Uppercase Letter 11
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 99
27.0%
p 85
23.2%
c 75
20.5%
u 75
20.5%
s 10
 
2.7%
b 5
 
1.4%
t 5
 
1.4%
l 4
 
1.1%
m 4
 
1.1%
o 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
5 128
29.7%
0 106
24.6%
2 77
17.9%
4 35
 
8.1%
3 29
 
6.7%
1 21
 
4.9%
8 19
 
4.4%
6 10
 
2.3%
7 6
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
T 5
45.5%
O 1
 
9.1%
N 1
 
9.1%
Z 1
 
9.1%
G 1
 
9.1%
R 1
 
9.1%
M 1
 
9.1%
Space Separator
ValueCountFrequency (%)
288
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Other Punctuation
ValueCountFrequency (%)
. 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 993
72.5%
Latin 377
 
27.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 99
26.3%
p 85
22.5%
c 75
19.9%
u 75
19.9%
s 10
 
2.7%
T 5
 
1.3%
b 5
 
1.3%
t 5
 
1.3%
l 4
 
1.1%
m 4
 
1.1%
Other values (8) 10
 
2.7%
Common
ValueCountFrequency (%)
288
29.0%
5 128
12.9%
0 106
 
10.7%
( 96
 
9.7%
) 96
 
9.7%
. 82
 
8.3%
2 77
 
7.8%
4 35
 
3.5%
3 29
 
2.9%
1 21
 
2.1%
Other values (3) 35
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
288
21.0%
5 128
9.3%
0 106
 
7.7%
g 99
 
7.2%
( 96
 
7.0%
) 96
 
7.0%
p 85
 
6.2%
. 82
 
6.0%
2 77
 
5.6%
c 75
 
5.5%
Other values (21) 238
17.4%

no_nutriments
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

additives_n
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)5.2%
Missing3
Missing (%)3.0%
Memory size928.0 B
0.0
78 
1.0
12 
2.0
 
4
3.0
 
2
6.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters291
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 78
78.0%
1.0 12
 
12.0%
2.0 4
 
4.0%
3.0 2
 
2.0%
6.0 1
 
1.0%
(Missing) 3
 
3.0%

Length

2023-09-19T20:42:57.048030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:57.100700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 78
80.4%
1.0 12
 
12.4%
2.0 4
 
4.1%
3.0 2
 
2.1%
6.0 1
 
1.0%

Most occurring characters

ValueCountFrequency (%)
0 175
60.1%
. 97
33.3%
1 12
 
4.1%
2 4
 
1.4%
3 2
 
0.7%
6 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194
66.7%
Other Punctuation 97
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
90.2%
1 12
 
6.2%
2 4
 
2.1%
3 2
 
1.0%
6 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 291
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 175
60.1%
. 97
33.3%
1 12
 
4.1%
2 4
 
1.4%
3 2
 
0.7%
6 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 175
60.1%
. 97
33.3%
1 12
 
4.1%
2 4
 
1.4%
3 2
 
0.7%
6 1
 
0.3%

additives
Categorical

HIGH CARDINALITY  MISSING  UNIFORM 

Distinct95
Distinct (%)97.9%
Missing3
Missing (%)3.0%
Memory size928.0 B
[ organic-coconut -> en:organic-coconut ] [ coconut -> en:coconut ]
 
2
[ organic-refined-durum-semolina-wheat-flour -> en:organic-refined-durum-semolina-wheat-flour ] [ refined-durum-semolina-wheat-flour -> en:refined-durum-semolina-wheat-flour ] [ durum-semolina-wheat-flour -> en:durum-semolina-wheat-flour ] [ semolina-wheat-flour -> en:semolina-wheat-flour ] [ wheat-flour -> en:wheat-flour ] [ flour -> en:flour ]
 
2
[ organic-semolina-flour -> en:organic-semolina-flour ] [ semolina-flour -> en:semolina-flour ] [ flour -> en:flour ] [ organic-spinach-powder -> en:organic-spinach-powder ] [ spinach-powder -> en:spinach-powder ] [ powder -> en:powder ] [ organic-tomato-powder -> en:organic-tomato-powder ] [ tomato-powder -> en:tomato-powder ] [ powder -> en:powder ]
 
1
[ organic-whole-brown-rice-flour -> en:organic-whole-brown-rice-flour ] [ whole-brown-rice-flour -> en:whole-brown-rice-flour ] [ brown-rice-flour -> en:brown-rice-flour ] [ rice-flour -> en:rice-flour ] [ flour -> en:flour ]
 
1
[ organic-refined-wheat-flour -> en:organic-refined-wheat-flour ] [ refined-wheat-flour -> en:refined-wheat-flour ] [ wheat-flour -> en:wheat-flour ] [ flour -> en:flour ] [ niacin -> en:e375 -> exists -- ok ] [ iron -> en:iron ] [ thiamin-mononitrate -> en:thiamin-mononitrate ] [ mononitrate -> en:mononitrate ] [ riboflavin-and-folic-acid -> en:riboflavin-and-folic-acid ] [ and-folic-acid -> en:and-folic-acid ] [ folic-acid -> en:folic-acid ] [ acid -> en:acid ]
 
1
Other values (90)
90 

Length

Max length3848
Median length606
Mean length638.39175
Min length72

Characters and Unicode

Total characters61924
Distinct characters42
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)95.9%

Sample

1st row [ bananas -> en:bananas ] [ vegetable-oil -> en:vegetable-oil ] [ oil -> en:oil ] [ coconut-oil -> en:coconut-oil ] [ oil -> en:oil ] [ corn-oil-and-or-palm-oil-sugar -> en:corn-oil-and-or-palm-oil-sugar ] [ oil-and-or-palm-oil-sugar -> en:oil-and-or-palm-oil-sugar ] [ and-or-palm-oil-sugar -> en:and-or-palm-oil-sugar ] [ or-palm-oil-sugar -> en:or-palm-oil-sugar ] [ palm-oil-sugar -> en:palm-oil-sugar ] [ oil-sugar -> en:oil-sugar ] [ sugar -> en:sugar ] [ natural-banana-flavor -> en:natural-banana-flavor ] [ banana-flavor -> en:banana-flavor ] [ flavor -> en:flavor ]
2nd row [ peanuts -> en:peanuts ] [ wheat-flour -> en:wheat-flour ] [ flour -> en:flour ] [ sugar -> en:sugar ] [ rice-flour -> en:rice-flour ] [ flour -> en:flour ] [ tapioca-starch -> en:tapioca-starch ] [ starch -> en:starch ] [ salt -> en:salt ] [ leavening -> en:leavening ] [ ammonium-bicarbonate -> en:ammonium-bicarbonate ] [ bicarbonate -> en:bicarbonate ] [ baking-soda -> en:baking-soda ] [ soda -> en:soda ] [ soy-sauce -> en:soy-sauce ] [ sauce -> en:sauce ] [ water -> en:water ] [ soybeans -> en:soybeans ] [ wheat -> en:wheat ] [ salt -> en:salt ] [ potato-starch -> en:potato-starch ] [ starch -> en:starch ]
3rd row [ organic-hazelnuts -> en:organic-hazelnuts ] [ hazelnuts -> en:hazelnuts ] [ organic-cashews -> en:organic-cashews ] [ cashews -> en:cashews ] [ organic-walnuts-almonds -> en:organic-walnuts-almonds ] [ walnuts-almonds -> en:walnuts-almonds ] [ almonds -> en:almonds ] [ organic-sunflower-oil -> en:organic-sunflower-oil ] [ sunflower-oil -> en:sunflower-oil ] [ oil -> en:oil ] [ sea-salt -> en:sea-salt ] [ salt -> en:salt ]
4th row [ organic-polenta -> en:organic-polenta ] [ polenta -> en:polenta ]
5th row [ rolled-oats -> en:rolled-oats ] [ oats -> en:oats ] [ grape-concentrate -> en:grape-concentrate ] [ concentrate -> en:concentrate ] [ expeller-pressed-canola-oil -> en:expeller-pressed-canola-oil ] [ pressed-canola-oil -> en:pressed-canola-oil ] [ canola-oil -> en:canola-oil ] [ oil -> en:oil ] [ sunflower-seeds -> en:sunflower-seeds ] [ seeds -> en:seeds ] [ almonds -> en:almonds ] [ walnuts-oat-bran -> en:walnuts-oat-bran ] [ oat-bran -> en:oat-bran ] [ bran -> en:bran ] [ sesame-seeds -> en:sesame-seeds ] [ seeds -> en:seeds ] [ cashews -> en:cashews ] [ natural-vitamin-e -> en:natural-vitamin-e ] [ vitamin-e -> en:vitamin-e ] [ e -> en:e ]

Common Values

ValueCountFrequency (%)
[ organic-coconut -> en:organic-coconut ] [ coconut -> en:coconut ] 2
 
2.0%
[ organic-refined-durum-semolina-wheat-flour -> en:organic-refined-durum-semolina-wheat-flour ] [ refined-durum-semolina-wheat-flour -> en:refined-durum-semolina-wheat-flour ] [ durum-semolina-wheat-flour -> en:durum-semolina-wheat-flour ] [ semolina-wheat-flour -> en:semolina-wheat-flour ] [ wheat-flour -> en:wheat-flour ] [ flour -> en:flour ] 2
 
2.0%
[ organic-semolina-flour -> en:organic-semolina-flour ] [ semolina-flour -> en:semolina-flour ] [ flour -> en:flour ] [ organic-spinach-powder -> en:organic-spinach-powder ] [ spinach-powder -> en:spinach-powder ] [ powder -> en:powder ] [ organic-tomato-powder -> en:organic-tomato-powder ] [ tomato-powder -> en:tomato-powder ] [ powder -> en:powder ] 1
 
1.0%
[ organic-whole-brown-rice-flour -> en:organic-whole-brown-rice-flour ] [ whole-brown-rice-flour -> en:whole-brown-rice-flour ] [ brown-rice-flour -> en:brown-rice-flour ] [ rice-flour -> en:rice-flour ] [ flour -> en:flour ] 1
 
1.0%
[ organic-refined-wheat-flour -> en:organic-refined-wheat-flour ] [ refined-wheat-flour -> en:refined-wheat-flour ] [ wheat-flour -> en:wheat-flour ] [ flour -> en:flour ] [ niacin -> en:e375 -> exists -- ok ] [ iron -> en:iron ] [ thiamin-mononitrate -> en:thiamin-mononitrate ] [ mononitrate -> en:mononitrate ] [ riboflavin-and-folic-acid -> en:riboflavin-and-folic-acid ] [ and-folic-acid -> en:and-folic-acid ] [ folic-acid -> en:folic-acid ] [ acid -> en:acid ] 1
 
1.0%
[ organic-evaporated-cane-juice -> en:organic-evaporated-cane-juice ] [ evaporated-cane-juice -> en:evaporated-cane-juice ] [ cane-juice -> en:cane-juice ] [ juice -> en:juice ] 1
 
1.0%
[ new-zealand-sea-salt-with-natural-trace-elements -> en:new-zealand-sea-salt-with-natural-trace-elements ] [ zealand-sea-salt-with-natural-trace-elements -> en:zealand-sea-salt-with-natural-trace-elements ] [ sea-salt-with-natural-trace-elements -> en:sea-salt-with-natural-trace-elements ] [ salt-with-natural-trace-elements -> en:salt-with-natural-trace-elements ] [ with-natural-trace-elements -> en:with-natural-trace-elements ] [ natural-trace-elements -> en:natural-trace-elements ] [ trace-elements -> en:trace-elements ] [ elements -> en:elements ] 1
 
1.0%
[ wheat -> en:wheat ] [ rye -> en:rye ] [ triticale -> en:triticale ] [ oat -> en:oat ] [ corn -> en:corn ] [ barley -> en:barley ] [ soy-bean -> en:soy-bean ] [ bean -> en:bean ] [ brown-rice -> en:brown-rice ] [ rice -> en:rice ] [ and-millet-flours -> en:and-millet-flours ] [ millet-flours -> en:millet-flours ] [ flours -> en:flours ] [ flaxseed -> en:flaxseed ] [ buttermilk-powder -> en:buttermilk-powder ] [ powder -> en:powder ] [ non-aluminum-baking-powder -> en:non-aluminum-baking-powder ] [ aluminum-baking-powder -> en:aluminum-baking-powder ] [ baking-powder -> en:baking-powder ] [ powder -> en:powder ] [ baking-soda -> en:baking-soda ] [ soda -> en:soda ] [ sodium-phosphate -> en:e339iii -> exists -- ok ] [ cornstarch -> en:cornstarch ] [ and-monocalcium-phosphate -> en:and-monocalcium-phosphate ] [ monocalcium-phosphate -> en:e341i -> exists -- ok ] [ sea-salt -> en:sea-salt ] [ salt -> en:salt ] 1
 
1.0%
[ organic-refined-spelt-flour -> en:organic-refined-spelt-flour ] [ refined-spelt-flour -> en:refined-spelt-flour ] [ spelt-flour -> en:spelt-flour ] [ flour -> en:flour ] 1
 
1.0%
[ refined -> en:refined ] [ enriched-durum-semolina-wheat-flour -> en:enriched-durum-semolina-wheat-flour ] [ durum-semolina-wheat-flour -> en:durum-semolina-wheat-flour ] [ semolina-wheat-flour -> en:semolina-wheat-flour ] [ wheat-flour -> en:wheat-flour ] [ flour -> en:flour ] [ thiamine -> en:thiamine ] [ riboflavin -> en:e101 -> exists -- ok ] [ niacin -> en:e375 -> exists -- ok ] [ iron -> en:iron ] [ folic-acid -> en:folic-acid ] [ acid -> en:acid ] 1
 
1.0%
Other values (85) 85
85.0%
(Missing) 3
 
3.0%

Length

2023-09-19T20:42:57.181000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4570
59.8%
oil 44
 
0.6%
en:oil 44
 
0.6%
en:salt 41
 
0.5%
salt 41
 
0.5%
exists 32
 
0.4%
ok 32
 
0.4%
almonds 29
 
0.4%
en:almonds 29
 
0.4%
en:flour 24
 
0.3%
Other values (1411) 2752
36.0%

Most occurring characters

ValueCountFrequency (%)
10706
17.3%
e 5692
 
9.2%
- 5120
 
8.3%
n 4011
 
6.5%
a 3577
 
5.8%
r 3187
 
5.1%
o 3125
 
5.0%
s 2913
 
4.7%
l 2524
 
4.1%
i 2333
 
3.8%
Other values (32) 18736
30.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 39931
64.5%
Space Separator 10706
 
17.3%
Dash Punctuation 5120
 
8.3%
Math Symbol 1534
 
2.5%
Other Punctuation 1502
 
2.4%
Close Punctuation 1502
 
2.4%
Open Punctuation 1502
 
2.4%
Decimal Number 127
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5692
14.3%
n 4011
10.0%
a 3577
 
9.0%
r 3187
 
8.0%
o 3125
 
7.8%
s 2913
 
7.3%
l 2524
 
6.3%
i 2333
 
5.8%
t 1779
 
4.5%
c 1692
 
4.2%
Other values (16) 9098
22.8%
Decimal Number
ValueCountFrequency (%)
1 23
18.1%
2 23
18.1%
0 21
16.5%
3 19
15.0%
4 16
12.6%
7 10
7.9%
5 10
7.9%
9 2
 
1.6%
8 2
 
1.6%
6 1
 
0.8%
Space Separator
ValueCountFrequency (%)
10706
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5120
100.0%
Math Symbol
ValueCountFrequency (%)
> 1534
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1502
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1502
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1502
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 39931
64.5%
Common 21993
35.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5692
14.3%
n 4011
10.0%
a 3577
 
9.0%
r 3187
 
8.0%
o 3125
 
7.8%
s 2913
 
7.3%
l 2524
 
6.3%
i 2333
 
5.8%
t 1779
 
4.5%
c 1692
 
4.2%
Other values (16) 9098
22.8%
Common
ValueCountFrequency (%)
10706
48.7%
- 5120
23.3%
> 1534
 
7.0%
: 1502
 
6.8%
] 1502
 
6.8%
[ 1502
 
6.8%
1 23
 
0.1%
2 23
 
0.1%
0 21
 
0.1%
3 19
 
0.1%
Other values (6) 41
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10706
17.3%
e 5692
 
9.2%
- 5120
 
8.3%
n 4011
 
6.5%
a 3577
 
5.8%
r 3187
 
5.1%
o 3125
 
5.0%
s 2913
 
4.7%
l 2524
 
4.1%
i 2333
 
3.8%
Other values (32) 18736
30.3%

additives_tags
Categorical

Distinct14
Distinct (%)73.7%
Missing81
Missing (%)81.0%
Memory size928.0 B
en:e322
en:e100
en:e123,en:e307a
en:e339iii,en:e330
en:e170,en:e322,en:e410
Other values (9)

Length

Max length50
Median length7
Mean length13.157895
Min length7

Characters and Unicode

Total characters250
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)63.2%

Sample

1st rowen:e123,en:e307a
2nd rowen:e100
3rd rowen:e322
4th rowen:e339iii,en:e330
5th rowen:e170,en:e322,en:e410

Common Values

ValueCountFrequency (%)
en:e322 5
 
5.0%
en:e100 2
 
2.0%
en:e123,en:e307a 1
 
1.0%
en:e339iii,en:e330 1
 
1.0%
en:e170,en:e322,en:e410 1
 
1.0%
en:e330 1
 
1.0%
en:e1422,en:e450,en:e481,en:e472e,en:e472b,en:e475 1
 
1.0%
en:e422,en:e160b,en:e100 1
 
1.0%
en:e101 1
 
1.0%
en:e101,en:e375 1
 
1.0%
Other values (4) 4
 
4.0%
(Missing) 81
81.0%

Length

2023-09-19T20:42:57.258484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
en:e322 5
26.3%
en:e100 2
 
10.5%
en:e123,en:e307a 1
 
5.3%
en:e339iii,en:e330 1
 
5.3%
en:e170,en:e322,en:e410 1
 
5.3%
en:e330 1
 
5.3%
en:e1422,en:e450,en:e481,en:e472e,en:e472b,en:e475 1
 
5.3%
en:e422,en:e160b,en:e100 1
 
5.3%
en:e101 1
 
5.3%
en:e101,en:e375 1
 
5.3%
Other values (4) 4
21.1%

Most occurring characters

ValueCountFrequency (%)
e 65
26.0%
: 32
12.8%
n 32
12.8%
3 19
 
7.6%
2 19
 
7.6%
1 17
 
6.8%
0 16
 
6.4%
, 13
 
5.2%
4 10
 
4.0%
i 7
 
2.8%
Other values (7) 20
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 107
42.8%
Decimal Number 98
39.2%
Other Punctuation 45
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 19
19.4%
2 19
19.4%
1 17
17.3%
0 16
16.3%
4 10
10.2%
7 7
 
7.1%
5 6
 
6.1%
9 2
 
2.0%
8 1
 
1.0%
6 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 65
60.7%
n 32
29.9%
i 7
 
6.5%
b 2
 
1.9%
a 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 32
71.1%
, 13
28.9%

Most occurring scripts

ValueCountFrequency (%)
Common 143
57.2%
Latin 107
42.8%

Most frequent character per script

Common
ValueCountFrequency (%)
: 32
22.4%
3 19
13.3%
2 19
13.3%
1 17
11.9%
0 16
11.2%
, 13
9.1%
4 10
 
7.0%
7 7
 
4.9%
5 6
 
4.2%
9 2
 
1.4%
Other values (2) 2
 
1.4%
Latin
ValueCountFrequency (%)
e 65
60.7%
n 32
29.9%
i 7
 
6.5%
b 2
 
1.9%
a 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 65
26.0%
: 32
12.8%
n 32
12.8%
3 19
 
7.6%
2 19
 
7.6%
1 17
 
6.8%
0 16
 
6.4%
, 13
 
5.2%
4 10
 
4.0%
i 7
 
2.8%
Other values (7) 20
 
8.0%

additives_fr
Categorical

Distinct14
Distinct (%)73.7%
Missing81
Missing (%)81.0%
Memory size928.0 B
E322 - Lécithines
E100 - Curcumine
E123 - Amarante,E307a - Tocophérol
E339iii - Phosphate de sodium tribasique,E330 - Acide citrique
E170 - Carbonate de calcium,E322 - Lécithines,E410 - Farine de graines de caroube
Other values (9)

Length

Max length302
Median length46
Mean length43.684211
Min length15

Characters and Unicode

Total characters830
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)63.2%

Sample

1st rowE123 - Amarante,E307a - Tocophérol
2nd rowE100 - Curcumine
3rd rowE322 - Lécithines
4th rowE339iii - Phosphate de sodium tribasique,E330 - Acide citrique
5th rowE170 - Carbonate de calcium,E322 - Lécithines,E410 - Farine de graines de caroube

Common Values

ValueCountFrequency (%)
E322 - Lécithines 5
 
5.0%
E100 - Curcumine 2
 
2.0%
E123 - Amarante,E307a - Tocophérol 1
 
1.0%
E339iii - Phosphate de sodium tribasique,E330 - Acide citrique 1
 
1.0%
E170 - Carbonate de calcium,E322 - Lécithines,E410 - Farine de graines de caroube 1
 
1.0%
E330 - Acide citrique 1
 
1.0%
E1422 - Adipate de diamidon acétylé,E450 - Sels métalliques de diphosphates,E481 - Stéaroyl-2-lactylate de sodium,E472e - Ester Monoacéthyltartrique de mono- et diglycérides d'acides gras,E472b - Ester diacétyl-lactique de mono- et diglycérides d'acides gras,E475 - Esters polyglycériques d'acides gras 1
 
1.0%
E422 - Glycérol,E160b - Rocou,E100 - Curcumine 1
 
1.0%
E101 - Riboflavine 1
 
1.0%
E101 - Riboflavine,E375 - Acide nicotinique 1
 
1.0%
Other values (4) 4
 
4.0%
(Missing) 81
81.0%

Length

2023-09-19T20:42:57.324312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
31
25.2%
de 10
 
8.1%
e322 5
 
4.1%
lécithines 5
 
4.1%
acide 4
 
3.3%
curcumine 3
 
2.4%
d'acides 3
 
2.4%
diglycérides 2
 
1.6%
ester 2
 
1.6%
e101 2
 
1.6%
Other values (48) 56
45.5%

Most occurring characters

ValueCountFrequency (%)
104
 
12.5%
i 66
 
8.0%
e 59
 
7.1%
a 36
 
4.3%
- 36
 
4.3%
t 35
 
4.2%
E 35
 
4.2%
c 34
 
4.1%
d 32
 
3.9%
s 31
 
3.7%
Other values (39) 362
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 511
61.6%
Space Separator 104
 
12.5%
Decimal Number 99
 
11.9%
Uppercase Letter 64
 
7.7%
Dash Punctuation 36
 
4.3%
Other Punctuation 16
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 66
12.9%
e 59
11.5%
a 36
 
7.0%
t 35
 
6.8%
c 34
 
6.7%
d 32
 
6.3%
s 31
 
6.1%
o 29
 
5.7%
n 26
 
5.1%
r 26
 
5.1%
Other values (13) 137
26.8%
Uppercase Letter
ValueCountFrequency (%)
E 35
54.7%
L 6
 
9.4%
A 6
 
9.4%
C 4
 
6.2%
R 3
 
4.7%
P 2
 
3.1%
S 2
 
3.1%
G 2
 
3.1%
T 1
 
1.6%
M 1
 
1.6%
Other values (2) 2
 
3.1%
Decimal Number
ValueCountFrequency (%)
2 20
20.2%
3 19
19.2%
1 17
17.2%
0 16
16.2%
4 10
10.1%
7 7
 
7.1%
5 6
 
6.1%
9 2
 
2.0%
6 1
 
1.0%
8 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 13
81.2%
' 3
 
18.8%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 575
69.3%
Common 255
30.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 66
 
11.5%
e 59
 
10.3%
a 36
 
6.3%
t 35
 
6.1%
E 35
 
6.1%
c 34
 
5.9%
d 32
 
5.6%
s 31
 
5.4%
o 29
 
5.0%
n 26
 
4.5%
Other values (25) 192
33.4%
Common
ValueCountFrequency (%)
104
40.8%
- 36
 
14.1%
2 20
 
7.8%
3 19
 
7.5%
1 17
 
6.7%
0 16
 
6.3%
, 13
 
5.1%
4 10
 
3.9%
7 7
 
2.7%
5 6
 
2.4%
Other values (4) 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 812
97.8%
None 18
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
 
12.8%
i 66
 
8.1%
e 59
 
7.3%
a 36
 
4.4%
- 36
 
4.4%
t 35
 
4.3%
E 35
 
4.3%
c 34
 
4.2%
d 32
 
3.9%
s 31
 
3.8%
Other values (37) 344
42.4%
None
ValueCountFrequency (%)
é 17
94.4%
É 1
 
5.6%

ingredients_from_palm_oil_n
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)1.0%
Missing3
Missing (%)3.0%
Memory size928.0 B
0.0
97 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters291
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 97
97.0%
(Missing) 3
 
3.0%

Length

2023-09-19T20:42:57.387556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:57.434002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 97
100.0%

Most occurring characters

ValueCountFrequency (%)
0 194
66.7%
. 97
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194
66.7%
Other Punctuation 97
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 194
100.0%
Other Punctuation
ValueCountFrequency (%)
. 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 291
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 194
66.7%
. 97
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 194
66.7%
. 97
33.3%

ingredients_from_palm_oil
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

ingredients_from_palm_oil_tags
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

ingredients_that_may_be_from_palm_oil_n
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)2.1%
Missing3
Missing (%)3.0%
Memory size928.0 B
0.0
96 
3.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters291
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 96
96.0%
3.0 1
 
1.0%
(Missing) 3
 
3.0%

Length

2023-09-19T20:42:57.482141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:57.531223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 96
99.0%
3.0 1
 
1.0%

Most occurring characters

ValueCountFrequency (%)
0 193
66.3%
. 97
33.3%
3 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194
66.7%
Other Punctuation 97
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 193
99.5%
3 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 291
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 193
66.3%
. 97
33.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 193
66.3%
. 97
33.3%
3 1
 
0.3%

ingredients_that_may_be_from_palm_oil
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

ingredients_that_may_be_from_palm_oil_tags
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
e481-stearoyl-2-lactylate-de-sodium,e472e-ester-monoacethyltartrique-de-mono-et-diglycerides-d-acides-gras,e472b-ester-diacetyl-lactique-de-mono-et-diglycerides-d-acides-gras

Length

Max length174
Median length174
Mean length174
Min length174

Characters and Unicode

Total characters174
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowe481-stearoyl-2-lactylate-de-sodium,e472e-ester-monoacethyltartrique-de-mono-et-diglycerides-d-acides-gras,e472b-ester-diacetyl-lactique-de-mono-et-diglycerides-d-acides-gras

Common Values

ValueCountFrequency (%)
e481-stearoyl-2-lactylate-de-sodium,e472e-ester-monoacethyltartrique-de-mono-et-diglycerides-d-acides-gras,e472b-ester-diacetyl-lactique-de-mono-et-diglycerides-d-acides-gras 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:57.581405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:57.631858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e481-stearoyl-2-lactylate-de-sodium,e472e-ester-monoacethyltartrique-de-mono-et-diglycerides-d-acides-gras,e472b-ester-diacetyl-lactique-de-mono-et-diglycerides-d-acides-gras 1
100.0%

Most occurring characters

ValueCountFrequency (%)
e 25
14.4%
- 24
13.8%
d 13
 
7.5%
t 12
 
6.9%
a 11
 
6.3%
s 10
 
5.7%
i 10
 
5.7%
r 9
 
5.2%
o 8
 
4.6%
l 8
 
4.6%
Other values (15) 44
25.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 138
79.3%
Dash Punctuation 24
 
13.8%
Decimal Number 10
 
5.7%
Other Punctuation 2
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 25
18.1%
d 13
9.4%
t 12
8.7%
a 11
8.0%
s 10
 
7.2%
i 10
 
7.2%
r 9
 
6.5%
o 8
 
5.8%
l 8
 
5.8%
c 8
 
5.8%
Other values (8) 24
17.4%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
4 3
30.0%
7 2
20.0%
1 1
 
10.0%
8 1
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 138
79.3%
Common 36
 
20.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 25
18.1%
d 13
9.4%
t 12
8.7%
a 11
8.0%
s 10
 
7.2%
i 10
 
7.2%
r 9
 
6.5%
o 8
 
5.8%
l 8
 
5.8%
c 8
 
5.8%
Other values (8) 24
17.4%
Common
ValueCountFrequency (%)
- 24
66.7%
2 3
 
8.3%
4 3
 
8.3%
, 2
 
5.6%
7 2
 
5.6%
1 1
 
2.8%
8 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 25
14.4%
- 24
13.8%
d 13
 
7.5%
t 12
 
6.9%
a 11
 
6.3%
s 10
 
5.7%
i 10
 
5.7%
r 9
 
5.2%
o 8
 
4.6%
l 8
 
4.6%
Other values (15) 44
25.3%

nutrition_grade_uk
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B
Distinct5
Distinct (%)13.5%
Missing63
Missing (%)63.0%
Memory size928.0 B
d
18 
c
b
a
e

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters37
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowd
2nd rowb
3rd rowd
4th rowc
5th rowd

Common Values

ValueCountFrequency (%)
d 18
 
18.0%
c 9
 
9.0%
b 5
 
5.0%
a 3
 
3.0%
e 2
 
2.0%
(Missing) 63
63.0%

Length

2023-09-19T20:42:57.690662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:57.750506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
d 18
48.6%
c 9
24.3%
b 5
 
13.5%
a 3
 
8.1%
e 2
 
5.4%

Most occurring characters

ValueCountFrequency (%)
d 18
48.6%
c 9
24.3%
b 5
 
13.5%
a 3
 
8.1%
e 2
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 37
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 18
48.6%
c 9
24.3%
b 5
 
13.5%
a 3
 
8.1%
e 2
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 37
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 18
48.6%
c 9
24.3%
b 5
 
13.5%
a 3
 
8.1%
e 2
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d 18
48.6%
c 9
24.3%
b 5
 
13.5%
a 3
 
8.1%
e 2
 
5.4%

pnns_groups_1
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
unknown

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowunknown

Common Values

ValueCountFrequency (%)
unknown 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:57.811898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:57.858833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 1
100.0%

Most occurring characters

ValueCountFrequency (%)
n 3
42.9%
u 1
 
14.3%
k 1
 
14.3%
o 1
 
14.3%
w 1
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 3
42.9%
u 1
 
14.3%
k 1
 
14.3%
o 1
 
14.3%
w 1
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 7
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 3
42.9%
u 1
 
14.3%
k 1
 
14.3%
o 1
 
14.3%
w 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 3
42.9%
u 1
 
14.3%
k 1
 
14.3%
o 1
 
14.3%
w 1
 
14.3%

pnns_groups_2
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
unknown

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowunknown

Common Values

ValueCountFrequency (%)
unknown 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:57.909352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:57.956999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 1
100.0%

Most occurring characters

ValueCountFrequency (%)
n 3
42.9%
u 1
 
14.3%
k 1
 
14.3%
o 1
 
14.3%
w 1
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 3
42.9%
u 1
 
14.3%
k 1
 
14.3%
o 1
 
14.3%
w 1
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 7
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 3
42.9%
u 1
 
14.3%
k 1
 
14.3%
o 1
 
14.3%
w 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 3
42.9%
u 1
 
14.3%
k 1
 
14.3%
o 1
 
14.3%
w 1
 
14.3%

states
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
en:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploaded
95 
en:to-be-completed, en:nutrition-facts-to-be-completed, en:ingredients-to-be-completed, en:expiration-date-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-completed, en:product-name-completed, en:photos-to-be-validated, en:photos-uploaded
 
1
en:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-to-be-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploaded
 
1
en:to-be-completed, en:nutrition-facts-to-be-completed, en:ingredients-to-be-completed, en:expiration-date-completed, en:characteristics-to-be-completed, en:categories-completed, en:brands-to-be-completed, en:packaging-completed, en:quantity-completed, en:product-name-completed, en:photos-to-be-validated, en:photos-uploaded
 
1
en:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-to-be-completed, en:packaging-to-be-completed, en:quantity-completed, en:product-name-completed, en:photos-to-be-uploaded
 
1

Length

Max length355
Median length345
Mean length344.53
Min length310

Characters and Unicode

Total characters34453
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st rowen:to-be-completed, en:nutrition-facts-to-be-completed, en:ingredients-to-be-completed, en:expiration-date-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-completed, en:product-name-completed, en:photos-to-be-validated, en:photos-uploaded
2nd rowen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-to-be-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploaded
3rd rowen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploaded
4th rowen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploaded
5th rowen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploaded

Common Values

ValueCountFrequency (%)
en:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploaded 95
95.0%
en:to-be-completed, en:nutrition-facts-to-be-completed, en:ingredients-to-be-completed, en:expiration-date-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-completed, en:product-name-completed, en:photos-to-be-validated, en:photos-uploaded 1
 
1.0%
en:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-to-be-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploaded 1
 
1.0%
en:to-be-completed, en:nutrition-facts-to-be-completed, en:ingredients-to-be-completed, en:expiration-date-completed, en:characteristics-to-be-completed, en:categories-completed, en:brands-to-be-completed, en:packaging-completed, en:quantity-completed, en:product-name-completed, en:photos-to-be-validated, en:photos-uploaded 1
 
1.0%
en:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-to-be-completed, en:packaging-to-be-completed, en:quantity-completed, en:product-name-completed, en:photos-to-be-uploaded 1
 
1.0%
en:to-be-completed, en:nutrition-facts-to-be-completed, en:ingredients-to-be-completed, en:expiration-date-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-to-be-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-to-be-completed, en:photos-to-be-validated, en:photos-uploaded 1
 
1.0%

Length

2023-09-19T20:42:58.008901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:58.076758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
en:to-be-completed 100
8.3%
en:characteristics-to-be-completed 100
8.3%
en:packaging-to-be-completed 99
8.3%
en:expiration-date-to-be-completed 99
8.3%
en:product-name-completed 99
8.3%
en:categories-to-be-completed 99
8.3%
en:nutrition-facts-completed 97
8.1%
en:quantity-to-be-completed 97
8.1%
en:photos-to-be-uploaded 97
8.1%
en:ingredients-completed 97
8.1%
Other values (12) 215
17.9%

Most occurring characters

ValueCountFrequency (%)
e 5191
15.1%
t 3203
 
9.3%
- 3097
 
9.0%
o 2699
 
7.8%
n 2195
 
6.4%
c 1988
 
5.8%
d 1798
 
5.2%
p 1695
 
4.9%
a 1398
 
4.1%
: 1199
 
3.5%
Other values (17) 9990
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27959
81.2%
Dash Punctuation 3097
 
9.0%
Other Punctuation 2298
 
6.7%
Space Separator 1099
 
3.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5191
18.6%
t 3203
11.5%
o 2699
9.7%
n 2195
7.9%
c 1988
 
7.1%
d 1798
 
6.4%
p 1695
 
6.1%
a 1398
 
5.0%
l 1199
 
4.3%
i 1199
 
4.3%
Other values (13) 5394
19.3%
Other Punctuation
ValueCountFrequency (%)
: 1199
52.2%
, 1099
47.8%
Dash Punctuation
ValueCountFrequency (%)
- 3097
100.0%
Space Separator
ValueCountFrequency (%)
1099
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27959
81.2%
Common 6494
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5191
18.6%
t 3203
11.5%
o 2699
9.7%
n 2195
7.9%
c 1988
 
7.1%
d 1798
 
6.4%
p 1695
 
6.1%
a 1398
 
5.0%
l 1199
 
4.3%
i 1199
 
4.3%
Other values (13) 5394
19.3%
Common
ValueCountFrequency (%)
- 3097
47.7%
: 1199
 
18.5%
1099
 
16.9%
, 1099
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34453
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 5191
15.1%
t 3203
 
9.3%
- 3097
 
9.0%
o 2699
 
7.8%
n 2195
 
6.4%
c 1988
 
5.8%
d 1798
 
5.2%
p 1695
 
4.9%
a 1398
 
4.1%
: 1199
 
3.5%
Other values (17) 9990
29.0%

states_tags
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
en:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded
95 
en:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-validated,en:photos-uploaded
 
1
en:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded
 
1
en:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-completed,en:characteristics-to-be-completed,en:categories-completed,en:brands-to-be-completed,en:packaging-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-validated,en:photos-uploaded
 
1
en:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-uploaded
 
1

Length

Max length344
Median length334
Mean length333.54
Min length300

Characters and Unicode

Total characters33354
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st rowen:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-validated,en:photos-uploaded
2nd rowen:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded
3rd rowen:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded
4th rowen:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded
5th rowen:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded

Common Values

ValueCountFrequency (%)
en:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded 95
95.0%
en:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-validated,en:photos-uploaded 1
 
1.0%
en:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded 1
 
1.0%
en:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-completed,en:characteristics-to-be-completed,en:categories-completed,en:brands-to-be-completed,en:packaging-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-validated,en:photos-uploaded 1
 
1.0%
en:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-uploaded 1
 
1.0%
en:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-to-be-completed,en:photos-to-be-validated,en:photos-uploaded 1
 
1.0%

Length

2023-09-19T20:42:58.209168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:58.275795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
en:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded 95
95.0%
en:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-validated,en:photos-uploaded 1
 
1.0%
en:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploaded 1
 
1.0%
en:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-completed,en:characteristics-to-be-completed,en:categories-completed,en:brands-to-be-completed,en:packaging-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-validated,en:photos-uploaded 1
 
1.0%
en:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-uploaded 1
 
1.0%
en:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-to-be-completed,en:photos-to-be-validated,en:photos-uploaded 1
 
1.0%

Most occurring characters

ValueCountFrequency (%)
e 5191
15.6%
t 3203
 
9.6%
- 3097
 
9.3%
o 2699
 
8.1%
n 2195
 
6.6%
c 1988
 
6.0%
d 1798
 
5.4%
p 1695
 
5.1%
a 1398
 
4.2%
l 1199
 
3.6%
Other values (16) 8891
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27959
83.8%
Dash Punctuation 3097
 
9.3%
Other Punctuation 2298
 
6.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5191
18.6%
t 3203
11.5%
o 2699
9.7%
n 2195
7.9%
c 1988
 
7.1%
d 1798
 
6.4%
p 1695
 
6.1%
a 1398
 
5.0%
l 1199
 
4.3%
i 1199
 
4.3%
Other values (13) 5394
19.3%
Other Punctuation
ValueCountFrequency (%)
: 1199
52.2%
, 1099
47.8%
Dash Punctuation
ValueCountFrequency (%)
- 3097
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27959
83.8%
Common 5395
 
16.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5191
18.6%
t 3203
11.5%
o 2699
9.7%
n 2195
7.9%
c 1988
 
7.1%
d 1798
 
6.4%
p 1695
 
6.1%
a 1398
 
5.0%
l 1199
 
4.3%
i 1199
 
4.3%
Other values (13) 5394
19.3%
Common
ValueCountFrequency (%)
- 3097
57.4%
: 1199
 
22.2%
, 1099
 
20.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33354
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 5191
15.6%
t 3203
 
9.6%
- 3097
 
9.3%
o 2699
 
8.1%
n 2195
 
6.6%
c 1988
 
6.0%
d 1798
 
5.4%
p 1695
 
5.1%
a 1398
 
4.2%
l 1199
 
3.6%
Other values (16) 8891
26.7%

states_fr
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
A compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyer
95 
A compléter,Informations nutritionnelles à compléter,Ingrédients à compléter,Date limite à compléter,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité complétée,Nom du produit complete,Photos à valider,Photos envoyées
 
1
A compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques à compléter,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyer
 
1
A compléter,Informations nutritionnelles à compléter,Ingrédients à compléter,Date limite complétée,Caractéristiques à compléter,Catégories complétées,Marques à compléter,Emballage complété,Quantité complétée,Nom du produit complete,Photos à valider,Photos envoyées
 
1
A compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,Caractéristiques à compléter,Catégories à compléter,Marques à compléter,Emballage à compléter,Quantité complétée,Nom du produit complete,Photos à envoyer
 
1

Length

Max length287
Median length286
Mean length285.16
Min length251

Characters and Unicode

Total characters28516
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st rowA compléter,Informations nutritionnelles à compléter,Ingrédients à compléter,Date limite à compléter,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité complétée,Nom du produit complete,Photos à valider,Photos envoyées
2nd rowA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques à compléter,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyer
3rd rowA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyer
4th rowA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyer
5th rowA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyer

Common Values

ValueCountFrequency (%)
A compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyer 95
95.0%
A compléter,Informations nutritionnelles à compléter,Ingrédients à compléter,Date limite à compléter,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité complétée,Nom du produit complete,Photos à valider,Photos envoyées 1
 
1.0%
A compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques à compléter,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyer 1
 
1.0%
A compléter,Informations nutritionnelles à compléter,Ingrédients à compléter,Date limite complétée,Caractéristiques à compléter,Catégories complétées,Marques à compléter,Emballage complété,Quantité complétée,Nom du produit complete,Photos à valider,Photos envoyées 1
 
1.0%
A compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,Caractéristiques à compléter,Catégories à compléter,Marques à compléter,Emballage à compléter,Quantité complétée,Nom du produit complete,Photos à envoyer 1
 
1.0%
A compléter,Informations nutritionnelles à compléter,Ingrédients à compléter,Date limite à compléter,Caractéristiques à compléter,Catégories à compléter,Marques à compléter,Emballage à compléter,Quantité à compléter,Nom du produit à compléter,Photos à valider,Photos envoyées 1
 
1.0%

Length

2023-09-19T20:42:58.410786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:58.480828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
à 605
27.4%
a 100
 
4.5%
compléter,informations 100
 
4.5%
du 100
 
4.5%
compléter,catégories 100
 
4.5%
produit 100
 
4.5%
limite 100
 
4.5%
nutritionnelles 100
 
4.5%
compléter,marques 99
 
4.5%
compléter,quantité 99
 
4.5%
Other values (18) 705
31.9%

Most occurring characters

ValueCountFrequency (%)
e 2584
 
9.1%
t 2495
 
8.7%
o 2194
 
7.7%
2108
 
7.4%
é 1600
 
5.6%
l 1599
 
5.6%
r 1505
 
5.3%
m 1496
 
5.2%
c 1388
 
4.9%
i 1199
 
4.2%
Other values (27) 10348
36.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23630
82.9%
Space Separator 2108
 
7.4%
Uppercase Letter 1199
 
4.2%
Other Punctuation 1195
 
4.2%
Dash Punctuation 384
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2584
10.9%
t 2495
 
10.6%
o 2194
 
9.3%
é 1600
 
6.8%
l 1599
 
6.8%
r 1505
 
6.4%
m 1496
 
6.3%
c 1388
 
5.9%
i 1199
 
5.1%
p 1196
 
5.1%
Other values (14) 6374
27.0%
Uppercase Letter
ValueCountFrequency (%)
I 200
16.7%
C 200
16.7%
P 199
16.6%
E 100
8.3%
N 100
8.3%
Q 100
8.3%
A 100
8.3%
M 100
8.3%
D 100
8.3%
Other Punctuation
ValueCountFrequency (%)
, 1099
92.0%
: 96
 
8.0%
Space Separator
ValueCountFrequency (%)
2108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 384
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24829
87.1%
Common 3687
 
12.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2584
 
10.4%
t 2495
 
10.0%
o 2194
 
8.8%
é 1600
 
6.4%
l 1599
 
6.4%
r 1505
 
6.1%
m 1496
 
6.0%
c 1388
 
5.6%
i 1199
 
4.8%
p 1196
 
4.8%
Other values (23) 7573
30.5%
Common
ValueCountFrequency (%)
2108
57.2%
, 1099
29.8%
- 384
 
10.4%
: 96
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26311
92.3%
None 2205
 
7.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2584
 
9.8%
t 2495
 
9.5%
o 2194
 
8.3%
2108
 
8.0%
l 1599
 
6.1%
r 1505
 
5.7%
m 1496
 
5.7%
c 1388
 
5.3%
i 1199
 
4.6%
p 1196
 
4.5%
Other values (25) 8547
32.5%
None
ValueCountFrequency (%)
é 1600
72.6%
à 605
 
27.4%

main_category
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
fr:filet-de-boeuf

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters17
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowfr:filet-de-boeuf

Common Values

ValueCountFrequency (%)
fr:filet-de-boeuf 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:58.606067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:58.758074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
fr:filet-de-boeuf 1
100.0%

Most occurring characters

ValueCountFrequency (%)
f 3
17.6%
e 3
17.6%
- 2
11.8%
r 1
 
5.9%
: 1
 
5.9%
i 1
 
5.9%
l 1
 
5.9%
t 1
 
5.9%
d 1
 
5.9%
b 1
 
5.9%
Other values (2) 2
11.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14
82.4%
Dash Punctuation 2
 
11.8%
Other Punctuation 1
 
5.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 3
21.4%
e 3
21.4%
r 1
 
7.1%
i 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
d 1
 
7.1%
b 1
 
7.1%
o 1
 
7.1%
u 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14
82.4%
Common 3
 
17.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 3
21.4%
e 3
21.4%
r 1
 
7.1%
i 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
d 1
 
7.1%
b 1
 
7.1%
o 1
 
7.1%
u 1
 
7.1%
Common
ValueCountFrequency (%)
- 2
66.7%
: 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 3
17.6%
e 3
17.6%
- 2
11.8%
r 1
 
5.9%
: 1
 
5.9%
i 1
 
5.9%
l 1
 
5.9%
t 1
 
5.9%
d 1
 
5.9%
b 1
 
5.9%
Other values (2) 2
11.8%

main_category_fr
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing99
Missing (%)99.0%
Memory size928.0 B
Filet-de-boeuf

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowFilet-de-boeuf

Common Values

ValueCountFrequency (%)
Filet-de-boeuf 1
 
1.0%
(Missing) 99
99.0%

Length

2023-09-19T20:42:58.809362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:58.857998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
filet-de-boeuf 1
100.0%

Most occurring characters

ValueCountFrequency (%)
e 3
21.4%
- 2
14.3%
F 1
 
7.1%
i 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
d 1
 
7.1%
b 1
 
7.1%
o 1
 
7.1%
u 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11
78.6%
Dash Punctuation 2
 
14.3%
Uppercase Letter 1
 
7.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
i 1
 
9.1%
l 1
 
9.1%
t 1
 
9.1%
d 1
 
9.1%
b 1
 
9.1%
o 1
 
9.1%
u 1
 
9.1%
f 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12
85.7%
Common 2
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3
25.0%
F 1
 
8.3%
i 1
 
8.3%
l 1
 
8.3%
t 1
 
8.3%
d 1
 
8.3%
b 1
 
8.3%
o 1
 
8.3%
u 1
 
8.3%
f 1
 
8.3%
Common
ValueCountFrequency (%)
- 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3
21.4%
- 2
14.3%
F 1
 
7.1%
i 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
d 1
 
7.1%
b 1
 
7.1%
o 1
 
7.1%
u 1
 
7.1%

image_url
Categorical

MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size928.0 B
http://fr.openfoodfacts.org/images/products/000/000/002/4600/front.3.400.jpg
http://fr.openfoodfacts.org/images/products/000/000/002/7205/front.3.400.jpg

Length

Max length76
Median length76
Mean length76
Min length76

Characters and Unicode

Total characters152
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowhttp://fr.openfoodfacts.org/images/products/000/000/002/4600/front.3.400.jpg
2nd rowhttp://fr.openfoodfacts.org/images/products/000/000/002/7205/front.3.400.jpg

Common Values

ValueCountFrequency (%)
http://fr.openfoodfacts.org/images/products/000/000/002/4600/front.3.400.jpg 1
 
1.0%
http://fr.openfoodfacts.org/images/products/000/000/002/7205/front.3.400.jpg 1
 
1.0%
(Missing) 98
98.0%

Length

2023-09-19T20:42:58.907068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:58.963517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://fr.openfoodfacts.org/images/products/000/000/002/4600/front.3.400.jpg 1
50.0%
http://fr.openfoodfacts.org/images/products/000/000/002/7205/front.3.400.jpg 1
50.0%

Most occurring characters

ValueCountFrequency (%)
0 23
15.1%
/ 18
11.8%
o 12
 
7.9%
. 10
 
6.6%
t 10
 
6.6%
p 8
 
5.3%
f 8
 
5.3%
r 8
 
5.3%
g 6
 
3.9%
s 6
 
3.9%
Other values (17) 43
28.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 88
57.9%
Decimal Number 34
 
22.4%
Other Punctuation 30
 
19.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 12
13.6%
t 10
11.4%
p 8
9.1%
f 8
9.1%
r 8
9.1%
g 6
 
6.8%
s 6
 
6.8%
c 4
 
4.5%
a 4
 
4.5%
e 4
 
4.5%
Other values (7) 18
20.5%
Decimal Number
ValueCountFrequency (%)
0 23
67.6%
4 3
 
8.8%
2 3
 
8.8%
3 2
 
5.9%
6 1
 
2.9%
7 1
 
2.9%
5 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 18
60.0%
. 10
33.3%
: 2
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 88
57.9%
Common 64
42.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 12
13.6%
t 10
11.4%
p 8
9.1%
f 8
9.1%
r 8
9.1%
g 6
 
6.8%
s 6
 
6.8%
c 4
 
4.5%
a 4
 
4.5%
e 4
 
4.5%
Other values (7) 18
20.5%
Common
ValueCountFrequency (%)
0 23
35.9%
/ 18
28.1%
. 10
15.6%
4 3
 
4.7%
2 3
 
4.7%
3 2
 
3.1%
: 2
 
3.1%
6 1
 
1.6%
7 1
 
1.6%
5 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
15.1%
/ 18
11.8%
o 12
 
7.9%
. 10
 
6.6%
t 10
 
6.6%
p 8
 
5.3%
f 8
 
5.3%
r 8
 
5.3%
g 6
 
3.9%
s 6
 
3.9%
Other values (17) 43
28.3%

image_small_url
Categorical

MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size928.0 B
http://fr.openfoodfacts.org/images/products/000/000/002/4600/front.3.200.jpg
http://fr.openfoodfacts.org/images/products/000/000/002/7205/front.3.200.jpg

Length

Max length76
Median length76
Mean length76
Min length76

Characters and Unicode

Total characters152
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowhttp://fr.openfoodfacts.org/images/products/000/000/002/4600/front.3.200.jpg
2nd rowhttp://fr.openfoodfacts.org/images/products/000/000/002/7205/front.3.200.jpg

Common Values

ValueCountFrequency (%)
http://fr.openfoodfacts.org/images/products/000/000/002/4600/front.3.200.jpg 1
 
1.0%
http://fr.openfoodfacts.org/images/products/000/000/002/7205/front.3.200.jpg 1
 
1.0%
(Missing) 98
98.0%

Length

2023-09-19T20:42:59.024058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:59.077282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://fr.openfoodfacts.org/images/products/000/000/002/4600/front.3.200.jpg 1
50.0%
http://fr.openfoodfacts.org/images/products/000/000/002/7205/front.3.200.jpg 1
50.0%

Most occurring characters

ValueCountFrequency (%)
0 23
15.1%
/ 18
11.8%
o 12
 
7.9%
. 10
 
6.6%
t 10
 
6.6%
p 8
 
5.3%
f 8
 
5.3%
r 8
 
5.3%
g 6
 
3.9%
s 6
 
3.9%
Other values (17) 43
28.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 88
57.9%
Decimal Number 34
 
22.4%
Other Punctuation 30
 
19.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 12
13.6%
t 10
11.4%
p 8
9.1%
f 8
9.1%
r 8
9.1%
g 6
 
6.8%
s 6
 
6.8%
a 4
 
4.5%
c 4
 
4.5%
d 4
 
4.5%
Other values (7) 18
20.5%
Decimal Number
ValueCountFrequency (%)
0 23
67.6%
2 5
 
14.7%
3 2
 
5.9%
4 1
 
2.9%
6 1
 
2.9%
7 1
 
2.9%
5 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 18
60.0%
. 10
33.3%
: 2
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 88
57.9%
Common 64
42.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 12
13.6%
t 10
11.4%
p 8
9.1%
f 8
9.1%
r 8
9.1%
g 6
 
6.8%
s 6
 
6.8%
a 4
 
4.5%
c 4
 
4.5%
d 4
 
4.5%
Other values (7) 18
20.5%
Common
ValueCountFrequency (%)
0 23
35.9%
/ 18
28.1%
. 10
15.6%
2 5
 
7.8%
3 2
 
3.1%
: 2
 
3.1%
4 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
5 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
15.1%
/ 18
11.8%
o 12
 
7.9%
. 10
 
6.6%
t 10
 
6.6%
p 8
 
5.3%
f 8
 
5.3%
r 8
 
5.3%
g 6
 
3.9%
s 6
 
3.9%
Other values (17) 43
28.3%

energy_100g
Real number (ℝ)

Distinct60
Distinct (%)63.8%
Missing6
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean1938.9362
Minimum234
Maximum3586
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:42:59.143495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum234
5-th percentile1321.7
Q11537
median1860
Q32372
95-th percentile2774.75
Maximum3586
Range3352
Interquartile range (IQR)835

Descriptive statistics

Standard deviation574.61527
Coefficient of variation (CV)0.29635595
Kurtosis1.1091134
Mean1938.9362
Median Absolute Deviation (MAD)370
Skewness0.49926767
Sum182260
Variance330182.71
MonotonicityNot monotonic
2023-09-19T20:42:59.218672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1393 5
 
5.0%
2092 5
 
5.0%
1582 5
 
5.0%
1490 4
 
4.0%
2389 3
 
3.0%
1569 3
 
3.0%
2372 3
 
3.0%
3586 3
 
3.0%
1674 3
 
3.0%
2230 3
 
3.0%
Other values (50) 57
57.0%
(Missing) 6
 
6.0%
ValueCountFrequency (%)
234 1
 
1.0%
699 1
 
1.0%
1096 1
 
1.0%
1272 1
 
1.0%
1297 1
 
1.0%
1335 2
 
2.0%
1356 1
 
1.0%
1393 5
5.0%
1443 1
 
1.0%
1464 1
 
1.0%
ValueCountFrequency (%)
3586 3
3.0%
2946 1
 
1.0%
2791 1
 
1.0%
2766 1
 
1.0%
2761 1
 
1.0%
2690 1
 
1.0%
2678 1
 
1.0%
2648 1
 
1.0%
2632 1
 
1.0%
2590 1
 
1.0%

energy-from-fat_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

fat_100g
Real number (ℝ)

Distinct55
Distinct (%)67.9%
Missing19
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean28.020741
Minimum0.98
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:42:59.295753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.98
5-th percentile1.11
Q14.55
median22.22
Q346.67
95-th percentile65
Maximum100
Range99.02
Interquartile range (IQR)42.12

Descriptive statistics

Standard deviation24.90986
Coefficient of variation (CV)0.88897935
Kurtosis0.57956004
Mean28.020741
Median Absolute Deviation (MAD)20.09
Skewness0.92232731
Sum2269.68
Variance620.50111
MonotonicityNot monotonic
2023-09-19T20:42:59.373886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.14 4
 
4.0%
50 4
 
4.0%
1.11 3
 
3.0%
100 3
 
3.0%
46.67 3
 
3.0%
26.67 2
 
2.0%
2.13 2
 
2.0%
32.14 2
 
2.0%
35 2
 
2.0%
28.57 2
 
2.0%
Other values (45) 54
54.0%
(Missing) 19
 
19.0%
ValueCountFrequency (%)
0.98 1
 
1.0%
1.04 1
 
1.0%
1.11 3
3.0%
1.43 2
2.0%
1.67 2
2.0%
1.72 2
2.0%
1.75 2
2.0%
1.79 1
 
1.0%
2.13 2
2.0%
2.22 1
 
1.0%
ValueCountFrequency (%)
100 3
3.0%
70.42 1
 
1.0%
65 1
 
1.0%
64 1
 
1.0%
60.71 1
 
1.0%
57.14 4
4.0%
56.67 1
 
1.0%
55.56 1
 
1.0%
50 4
4.0%
48.48 1
 
1.0%

saturated-fat_100g
Real number (ℝ)

Distinct42
Distinct (%)71.2%
Missing41
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean7.9020339
Minimum0
Maximum57
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:42:59.444256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.91
Q13.33
median5.36
Q37.84
95-th percentile25.167
Maximum57
Range57
Interquartile range (IQR)4.51

Descriptive statistics

Standard deviation9.1609578
Coefficient of variation (CV)1.1593164
Kurtosis14.042625
Mean7.9020339
Median Absolute Deviation (MAD)2.14
Skewness3.2942819
Sum466.22
Variance83.923148
MonotonicityNot monotonic
2023-09-19T20:42:59.512899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
7.14 6
 
6.0%
1.82 3
 
3.0%
5.36 3
 
3.0%
3.33 3
 
3.0%
3.57 3
 
3.0%
0.91 2
 
2.0%
6.67 2
 
2.0%
8.33 2
 
2.0%
5 2
 
2.0%
4.76 1
 
1.0%
Other values (32) 32
32.0%
(Missing) 41
41.0%
ValueCountFrequency (%)
0 1
 
1.0%
0.86 1
 
1.0%
0.91 2
2.0%
1.19 1
 
1.0%
1.79 1
 
1.0%
1.82 3
3.0%
1.92 1
 
1.0%
2.22 1
 
1.0%
2.68 1
 
1.0%
2.73 1
 
1.0%
ValueCountFrequency (%)
57 1
1.0%
28.57 1
1.0%
26.67 1
1.0%
25 1
1.0%
23.33 1
1.0%
22.5 1
1.0%
15 1
1.0%
14.29 1
1.0%
13.33 1
1.0%
10.71 1
1.0%

butyric-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

caproic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

caprylic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

capric-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

lauric-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

myristic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

palmitic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

stearic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

arachidic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

behenic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

lignoceric-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

cerotic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

montanic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

melissic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

monounsaturated-fat_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

polyunsaturated-fat_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

omega-3-fat_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

alpha-linolenic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

eicosapentaenoic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

docosahexaenoic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

omega-6-fat_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

linoleic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

arachidonic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

gamma-linolenic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

dihomo-gamma-linolenic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

omega-9-fat_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

oleic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

elaidic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

gondoic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

mead-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

erucic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

nervonic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

trans-fat_100g
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)25.0%
Missing96
Missing (%)96.0%
Memory size928.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters12
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0

Common Values

ValueCountFrequency (%)
0.0 4
 
4.0%
(Missing) 96
96.0%

Length

2023-09-19T20:42:59.577699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:59.628605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4
100.0%

Most occurring characters

ValueCountFrequency (%)
0 8
66.7%
. 4
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8
66.7%
Other Punctuation 4
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8
66.7%
. 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8
66.7%
. 4
33.3%

cholesterol_100g
Categorical

Distinct4
Distinct (%)66.7%
Missing94
Missing (%)94.0%
Memory size928.0 B
0.0
0.018
0.077
0.009

Length

Max length5
Median length4
Mean length4
Min length3

Characters and Unicode

Total characters24
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)50.0%

Sample

1st row0.018
2nd row0.0
3rd row0.077
4th row0.009
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3
 
3.0%
0.018 1
 
1.0%
0.077 1
 
1.0%
0.009 1
 
1.0%
(Missing) 94
94.0%

Length

2023-09-19T20:42:59.690371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-19T20:42:59.751314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3
50.0%
0.018 1
 
16.7%
0.077 1
 
16.7%
0.009 1
 
16.7%

Most occurring characters

ValueCountFrequency (%)
0 13
54.2%
. 6
25.0%
7 2
 
8.3%
1 1
 
4.2%
8 1
 
4.2%
9 1
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18
75.0%
Other Punctuation 6
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
72.2%
7 2
 
11.1%
1 1
 
5.6%
8 1
 
5.6%
9 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13
54.2%
. 6
25.0%
7 2
 
8.3%
1 1
 
4.2%
8 1
 
4.2%
9 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13
54.2%
. 6
25.0%
7 2
 
8.3%
1 1
 
4.2%
8 1
 
4.2%
9 1
 
4.2%

carbohydrates_100g
Real number (ℝ)

Distinct71
Distinct (%)78.0%
Missing9
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean52.628571
Minimum4
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:42:59.820463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile13.985
Q130
median60
Q367.755
95-th percentile79.285
Maximum100
Range96
Interquartile range (IQR)37.755

Descriptive statistics

Standard deviation22.868616
Coefficient of variation (CV)0.43452853
Kurtosis-0.66197762
Mean52.628571
Median Absolute Deviation (MAD)11.93
Skewness-0.44868095
Sum4789.2
Variance522.97358
MonotonicityNot monotonic
2023-09-19T20:42:59.898691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.67 4
 
4.0%
60 4
 
4.0%
30 3
 
3.0%
17.86 3
 
3.0%
62.22 2
 
2.0%
70.91 2
 
2.0%
23.33 2
 
2.0%
100 2
 
2.0%
46.67 2
 
2.0%
64.44 2
 
2.0%
Other values (61) 65
65.0%
(Missing) 9
 
9.0%
ValueCountFrequency (%)
4 1
 
1.0%
5.56 1
 
1.0%
12 1
 
1.0%
13.33 1
 
1.0%
13.89 1
 
1.0%
14.08 1
 
1.0%
14.29 1
 
1.0%
15.15 1
 
1.0%
17.86 3
3.0%
20 1
 
1.0%
ValueCountFrequency (%)
100 2
2.0%
96.77 1
1.0%
80 2
2.0%
78.57 1
1.0%
77.78 1
1.0%
77.14 1
1.0%
76.67 1
1.0%
74.55 1
1.0%
73.68 1
1.0%
73.33 1
1.0%

sugars_100g
Real number (ℝ)

Distinct43
Distinct (%)67.2%
Missing36
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean15.883125
Minimum1.54
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:42:59.973560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.54
5-th percentile2.22
Q13.57
median8.7
Q322.1675
95-th percentile37.5
Maximum100
Range98.46
Interquartile range (IQR)18.5975

Descriptive statistics

Standard deviation19.049955
Coefficient of variation (CV)1.1993833
Kurtosis10.419515
Mean15.883125
Median Absolute Deviation (MAD)5.675
Skewness2.8676546
Sum1016.52
Variance362.9008
MonotonicityNot monotonic
2023-09-19T20:43:00.050191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3.57 6
 
6.0%
6.67 6
 
6.0%
2.22 3
 
3.0%
3.33 3
 
3.0%
100 2
 
2.0%
14.29 2
 
2.0%
8.89 2
 
2.0%
37.5 2
 
2.0%
33.33 2
 
2.0%
21.43 2
 
2.0%
Other values (33) 34
34.0%
(Missing) 36
36.0%
ValueCountFrequency (%)
1.54 1
 
1.0%
1.72 1
 
1.0%
2.17 1
 
1.0%
2.22 3
3.0%
2.38 1
 
1.0%
2.78 1
 
1.0%
2.94 1
 
1.0%
3.33 3
3.0%
3.52 1
 
1.0%
3.57 6
6.0%
ValueCountFrequency (%)
100 2
2.0%
42.5 1
1.0%
37.5 2
2.0%
35.71 1
1.0%
33.33 2
2.0%
32.5 1
1.0%
32 1
1.0%
30 1
1.0%
29.09 1
1.0%
27.27 1
1.0%

sucrose_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

glucose_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

fructose_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

lactose_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

maltose_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

maltodextrins_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

starch_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

polyols_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

fiber_100g
Real number (ℝ)

Distinct50
Distinct (%)58.1%
Missing14
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean10.886047
Minimum1.7
Maximum44.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:43:00.126621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.7
5-th percentile3.15
Q16.7
median8
Q312.225
95-th percentile28.9
Maximum44.4
Range42.7
Interquartile range (IQR)5.525

Descriptive statistics

Standard deviation8.5567196
Coefficient of variation (CV)0.78602637
Kurtosis4.3723765
Mean10.886047
Median Absolute Deviation (MAD)2.55
Skewness2.0749778
Sum936.2
Variance73.21745
MonotonicityNot monotonic
2023-09-19T20:43:00.201754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.1 10
 
10.0%
9.1 6
 
6.0%
3.3 5
 
5.0%
6.7 4
 
4.0%
10 3
 
3.0%
10.7 3
 
3.0%
7.3 3
 
3.0%
7.5 3
 
3.0%
1.8 2
 
2.0%
3.6 2
 
2.0%
Other values (40) 45
45.0%
(Missing) 14
 
14.0%
ValueCountFrequency (%)
1.7 1
 
1.0%
1.8 2
 
2.0%
2.2 1
 
1.0%
3.1 1
 
1.0%
3.3 5
5.0%
3.6 2
 
2.0%
4.4 2
 
2.0%
5 1
 
1.0%
5.5 1
 
1.0%
5.7 1
 
1.0%
ValueCountFrequency (%)
44.4 1
1.0%
39.3 1
1.0%
38.1 1
1.0%
33.3 1
1.0%
28.9 2
2.0%
26.7 2
2.0%
24.4 1
1.0%
23.3 1
1.0%
17.9 1
1.0%
16 1
1.0%

proteins_100g
Real number (ℝ)

Distinct53
Distinct (%)59.6%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean15.13
Minimum3.33
Maximum30.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:43:00.278816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33
5-th percentile6.268
Q110.91
median13.85
Q318.18
95-th percentile28.762
Maximum30.3
Range26.97
Interquartile range (IQR)7.27

Descriptive statistics

Standard deviation6.3295941
Coefficient of variation (CV)0.41834726
Kurtosis0.010119693
Mean15.13
Median Absolute Deviation (MAD)3.14
Skewness0.6528107
Sum1346.57
Variance40.063761
MonotonicityNot monotonic
2023-09-19T20:43:00.358149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.67 6
 
6.0%
10.91 6
 
6.0%
14.29 5
 
5.0%
13.33 5
 
5.0%
8.89 3
 
3.0%
21.43 3
 
3.0%
17.86 3
 
3.0%
28.89 3
 
3.0%
22.22 2
 
2.0%
20 2
 
2.0%
Other values (43) 51
51.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
3.33 1
 
1.0%
3.57 1
 
1.0%
5 2
2.0%
6 1
 
1.0%
6.67 2
2.0%
7.5 2
2.0%
8.57 1
 
1.0%
8.89 3
3.0%
9.09 1
 
1.0%
10 2
2.0%
ValueCountFrequency (%)
30.3 1
 
1.0%
30 1
 
1.0%
28.89 3
3.0%
28.57 1
 
1.0%
26.67 2
2.0%
25 1
 
1.0%
24.44 1
 
1.0%
23.53 1
 
1.0%
22.92 1
 
1.0%
22.22 2
2.0%

casein_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

serum-proteins_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

nucleotides_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

salt_100g
Real number (ℝ)

Distinct46
Distinct (%)76.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean4.1100587
Minimum0
Maximum99.90582
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:43:00.433408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.017399
Q10.04953
median0.20066
Q31.08966
95-th percentile11.294491
Maximum99.90582
Range99.90582
Interquartile range (IQR)1.04013

Descriptive statistics

Standard deviation17.733831
Coefficient of variation (CV)4.3147391
Kurtosis26.441667
Mean4.1100587
Median Absolute Deviation (MAD)0.17272
Skewness5.210141
Sum246.60352
Variance314.48876
MonotonicityNot monotonic
2023-09-19T20:43:00.508301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.04572 4
 
4.0%
0.254 4
 
4.0%
0.02794 3
 
3.0%
0.02286 2
 
2.0%
0.127 2
 
2.0%
1.13284 2
 
2.0%
0.01016 2
 
2.0%
0.05588 2
 
2.0%
1.08966 2
 
2.0%
1.54178 1
 
1.0%
Other values (36) 36
36.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0 1
 
1.0%
0.01016 2
2.0%
0.01778 1
 
1.0%
0.02286 2
2.0%
0.0254 1
 
1.0%
0.02794 3
3.0%
0.04318 1
 
1.0%
0.04572 4
4.0%
0.0508 1
 
1.0%
0.05334 1
 
1.0%
ValueCountFrequency (%)
99.90582 1
1.0%
96.15678 1
1.0%
13.54582 1
1.0%
11.176 1
1.0%
2.75844 1
1.0%
2.032 1
1.0%
1.651 1
1.0%
1.60782 1
1.0%
1.54178 1
1.0%
1.35382 1
1.0%

sodium_100g
Real number (ℝ)

Distinct46
Distinct (%)76.7%
Missing40
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1.6181333
Minimum0
Maximum39.333
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:43:00.580707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00685
Q10.0195
median0.079
Q30.429
95-th percentile4.44665
Maximum39.333
Range39.333
Interquartile range (IQR)0.4095

Descriptive statistics

Standard deviation6.9818232
Coefficient of variation (CV)4.3147391
Kurtosis26.441667
Mean1.6181333
Median Absolute Deviation (MAD)0.068
Skewness5.210141
Sum97.088
Variance48.745855
MonotonicityNot monotonic
2023-09-19T20:43:00.767530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.018 4
 
4.0%
0.1 4
 
4.0%
0.011 3
 
3.0%
0.009 2
 
2.0%
0.05 2
 
2.0%
0.446 2
 
2.0%
0.004 2
 
2.0%
0.022 2
 
2.0%
0.429 2
 
2.0%
0.607 1
 
1.0%
Other values (36) 36
36.0%
(Missing) 40
40.0%
ValueCountFrequency (%)
0 1
 
1.0%
0.004 2
2.0%
0.007 1
 
1.0%
0.009 2
2.0%
0.01 1
 
1.0%
0.011 3
3.0%
0.017 1
 
1.0%
0.018 4
4.0%
0.02 1
 
1.0%
0.021 1
 
1.0%
ValueCountFrequency (%)
39.333 1
1.0%
37.857 1
1.0%
5.333 1
1.0%
4.4 1
1.0%
1.086 1
1.0%
0.8 1
1.0%
0.65 1
1.0%
0.633 1
1.0%
0.607 1
1.0%
0.533 1
1.0%

alcohol_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-a_100g
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)58.8%
Missing83
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean9.3458824 × 10-5
Minimum0
Maximum0.0004287
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:43:00.835265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.67 × 10-5
median5.88 × 10-5
Q39.99 × 10-5
95-th percentile0.0003039
Maximum0.0004287
Range0.0004287
Interquartile range (IQR)7.32 × 10-5

Descriptive statistics

Standard deviation0.00011933469
Coefficient of variation (CV)1.2768692
Kurtosis3.1019227
Mean9.3458824 × 10-5
Median Absolute Deviation (MAD)4.11 × 10-5
Skewness1.8777544
Sum0.0015888
Variance1.4240769 × 10-8
MonotonicityNot monotonic
2023-09-19T20:43:00.894103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 4
 
4.0%
0.0002727 2
 
2.0%
9.99 × 10-52
 
2.0%
6.66 × 10-52
 
2.0%
3.33 × 10-52
 
2.0%
7.5 × 10-51
 
1.0%
5.46 × 10-51
 
1.0%
0.0004287 1
 
1.0%
5.88 × 10-51
 
1.0%
2.67 × 10-51
 
1.0%
(Missing) 83
83.0%
ValueCountFrequency (%)
0 4
4.0%
2.67 × 10-51
 
1.0%
3.33 × 10-52
2.0%
5.46 × 10-51
 
1.0%
5.88 × 10-51
 
1.0%
6.66 × 10-52
2.0%
7.5 × 10-51
 
1.0%
9.99 × 10-52
2.0%
0.0002727 2
2.0%
0.0004287 1
 
1.0%
ValueCountFrequency (%)
0.0004287 1
 
1.0%
0.0002727 2
2.0%
9.99 × 10-52
2.0%
7.5 × 10-51
 
1.0%
6.66 × 10-52
2.0%
5.88 × 10-51
 
1.0%
5.46 × 10-51
 
1.0%
3.33 × 10-52
2.0%
2.67 × 10-51
 
1.0%
0 4
4.0%

beta-carotene_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-d_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-e_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-k_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-c_100g
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)70.0%
Missing80
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean0.005805
Minimum0
Maximum0.0225
Zeros3
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:43:00.951365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0027
median0.0041
Q30.006425
95-th percentile0.021455
Maximum0.0225
Range0.0225
Interquartile range (IQR)0.003725

Descriptive statistics

Standard deviation0.0060932642
Coefficient of variation (CV)1.0496579
Kurtosis3.8578258
Mean0.005805
Median Absolute Deviation (MAD)0.00185
Skewness2.0076403
Sum0.1161
Variance3.7127868 × 10-5
MonotonicityNot monotonic
2023-09-19T20:43:01.010581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 3
 
3.0%
0.0027 3
 
3.0%
0.004 3
 
3.0%
0.0214 1
 
1.0%
0.0042 1
 
1.0%
0.0064 1
 
1.0%
0.0225 1
 
1.0%
0.0065 1
 
1.0%
0.008 1
 
1.0%
0.0018 1
 
1.0%
Other values (4) 4
 
4.0%
(Missing) 80
80.0%
ValueCountFrequency (%)
0 3
3.0%
0.0018 1
 
1.0%
0.0027 3
3.0%
0.004 3
3.0%
0.0042 1
 
1.0%
0.0047 1
 
1.0%
0.0052 1
 
1.0%
0.0053 1
 
1.0%
0.0064 1
 
1.0%
0.0065 1
 
1.0%
ValueCountFrequency (%)
0.0225 1
1.0%
0.0214 1
1.0%
0.01 1
1.0%
0.008 1
1.0%
0.0065 1
1.0%
0.0064 1
1.0%
0.0053 1
1.0%
0.0052 1
1.0%
0.0047 1
1.0%
0.0042 1
1.0%

vitamin-b1_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-b2_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-pp_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-b6_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-b9_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

folates_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

vitamin-b12_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

biotin_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

pantothenic-acid_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

silica_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

bicarbonate_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

potassium_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

chloride_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

calcium_100g
Real number (ℝ)

Distinct37
Distinct (%)56.9%
Missing35
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean0.11781538
Minimum0
Maximum0.972
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:43:01.077271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.036
Q10.044
median0.073
Q30.121
95-th percentile0.286
Maximum0.972
Range0.972
Interquartile range (IQR)0.077

Descriptive statistics

Standard deviation0.1437639
Coefficient of variation (CV)1.2202473
Kurtosis21.484788
Mean0.11781538
Median Absolute Deviation (MAD)0.034
Skewness4.2232818
Sum7.658
Variance0.020668059
MonotonicityNot monotonic
2023-09-19T20:43:01.151953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.036 7
 
7.0%
0.067 6
 
6.0%
0.071 5
 
5.0%
0.089 5
 
5.0%
0.044 4
 
4.0%
0.107 3
 
3.0%
0.286 2
 
2.0%
0.1 2
 
2.0%
0.062 2
 
2.0%
0.143 2
 
2.0%
Other values (27) 27
27.0%
(Missing) 35
35.0%
ValueCountFrequency (%)
0 1
 
1.0%
0.029 1
 
1.0%
0.033 1
 
1.0%
0.036 7
7.0%
0.037 1
 
1.0%
0.038 1
 
1.0%
0.043 1
 
1.0%
0.044 4
4.0%
0.048 1
 
1.0%
0.05 1
 
1.0%
ValueCountFrequency (%)
0.972 1
1.0%
0.643 1
1.0%
0.3 1
1.0%
0.286 2
2.0%
0.267 1
1.0%
0.259 1
1.0%
0.2 1
1.0%
0.178 1
1.0%
0.176 1
1.0%
0.16 1
1.0%

phosphorus_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

iron_100g
Real number (ℝ)

Distinct50
Distinct (%)61.0%
Missing18
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.0041371951
Minimum0.00065
Maximum0.015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size928.0 B
2023-09-19T20:43:01.226940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.00065
5-th percentile0.00126
Q10.0025025
median0.0033
Q30.00535
95-th percentile0.00878
Maximum0.015
Range0.01435
Interquartile range (IQR)0.0028475

Descriptive statistics

Standard deviation0.0026490274
Coefficient of variation (CV)0.6402955
Kurtosis3.7709016
Mean0.0041371951
Median Absolute Deviation (MAD)0.0015
Skewness1.6404643
Sum0.33925
Variance7.0173464 × 10-6
MonotonicityNot monotonic
2023-09-19T20:43:01.305232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.006 8
 
8.0%
0.00327 4
 
4.0%
0.00129 4
 
4.0%
0.0036 3
 
3.0%
0.00262 3
 
3.0%
0.0018 3
 
3.0%
0.0024 3
 
3.0%
0.00514 3
 
3.0%
0.0045 3
 
3.0%
0.00126 2
 
2.0%
Other values (40) 46
46.0%
(Missing) 18
 
18.0%
ValueCountFrequency (%)
0.00065 1
 
1.0%
0.0008 1
 
1.0%
0.0012 1
 
1.0%
0.00124 1
 
1.0%
0.00126 2
2.0%
0.00129 4
4.0%
0.00131 1
 
1.0%
0.0016 1
 
1.0%
0.00166 1
 
1.0%
0.0018 3
3.0%
ValueCountFrequency (%)
0.015 1
1.0%
0.01286 1
1.0%
0.01125 1
1.0%
0.009 1
1.0%
0.0088 1
1.0%
0.0084 1
1.0%
0.008 1
1.0%
0.00783 1
1.0%
0.0075 1
1.0%
0.00706 1
1.0%

magnesium_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

zinc_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

copper_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

manganese_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

fluoride_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

selenium_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

chromium_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

molybdenum_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

iodine_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

caffeine_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

taurine_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

ph_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

fruits-vegetables-nuts_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

collagen-meat-protein-ratio_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

cocoa_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

chlorophyl_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

carbon-footprint_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

nutrition-score-fr_100g
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)40.5%
Missing63
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean9.1081081
Minimum-6
Maximum26
Zeros5
Zeros (%)5.0%
Negative3
Negative (%)3.0%
Memory size928.0 B
2023-09-19T20:43:01.368592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6
5-th percentile-1
Q16
median11
Q314
95-th percentile16.6
Maximum26
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.6281545
Coefficient of variation (CV)0.72772023
Kurtosis0.25067896
Mean9.1081081
Median Absolute Deviation (MAD)4
Skewness-0.21106681
Sum337
Variance43.932432
MonotonicityNot monotonic
2023-09-19T20:43:01.427932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
14 5
 
5.0%
0 5
 
5.0%
12 5
 
5.0%
11 4
 
4.0%
7 3
 
3.0%
6 3
 
3.0%
15 2
 
2.0%
9 2
 
2.0%
-1 2
 
2.0%
-6 1
 
1.0%
Other values (5) 5
 
5.0%
(Missing) 63
63.0%
ValueCountFrequency (%)
-6 1
 
1.0%
-1 2
 
2.0%
0 5
5.0%
6 3
3.0%
7 3
3.0%
9 2
 
2.0%
10 1
 
1.0%
11 4
4.0%
12 5
5.0%
13 1
 
1.0%
ValueCountFrequency (%)
26 1
 
1.0%
19 1
 
1.0%
16 1
 
1.0%
15 2
 
2.0%
14 5
5.0%
13 1
 
1.0%
12 5
5.0%
11 4
4.0%
10 1
 
1.0%
9 2
 
2.0%

nutrition-score-uk_100g
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)40.5%
Missing63
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean9.1081081
Minimum-6
Maximum26
Zeros5
Zeros (%)5.0%
Negative3
Negative (%)3.0%
Memory size928.0 B
2023-09-19T20:43:01.484700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6
5-th percentile-1
Q16
median11
Q314
95-th percentile16.6
Maximum26
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.6281545
Coefficient of variation (CV)0.72772023
Kurtosis0.25067896
Mean9.1081081
Median Absolute Deviation (MAD)4
Skewness-0.21106681
Sum337
Variance43.932432
MonotonicityNot monotonic
2023-09-19T20:43:01.545131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
14 5
 
5.0%
0 5
 
5.0%
12 5
 
5.0%
11 4
 
4.0%
7 3
 
3.0%
6 3
 
3.0%
15 2
 
2.0%
9 2
 
2.0%
-1 2
 
2.0%
-6 1
 
1.0%
Other values (5) 5
 
5.0%
(Missing) 63
63.0%
ValueCountFrequency (%)
-6 1
 
1.0%
-1 2
 
2.0%
0 5
5.0%
6 3
3.0%
7 3
3.0%
9 2
 
2.0%
10 1
 
1.0%
11 4
4.0%
12 5
5.0%
13 1
 
1.0%
ValueCountFrequency (%)
26 1
 
1.0%
19 1
 
1.0%
16 1
 
1.0%
15 2
 
2.0%
14 5
5.0%
13 1
 
1.0%
12 5
5.0%
11 4
4.0%
10 1
 
1.0%
9 2
 
2.0%

glycemic-index_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

water-hardness_100g
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size928.0 B

Interactions

2023-09-19T20:42:51.675981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:28.660423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:31.667690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:33.628674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:35.765170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.956988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.241240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.294728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.575450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.629776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.864720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.023318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.234566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.344655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.225816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.288279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.392470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.664097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.789554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:29.073412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:31.964336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:34.034561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.007570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.169755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.401610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.527234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.745816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.851340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.090895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.188888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.400300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.414897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.296736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.464410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.606020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.774813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.874888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:29.313560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:32.227451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:34.199500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.126640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.283297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.501707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.638381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.850117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.958090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.200975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.290576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.508353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.466180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.464090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.569636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.719874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.864328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.961146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:29.563903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:32.395918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:34.369227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.254547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.404885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.603261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.762503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.956330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.075432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.324037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.414458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.617936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.523332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.525518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.682495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.839490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.951287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.009927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:29.864048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:32.489317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:34.472031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.303882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.450687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.648269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.806397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.999007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.119157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.369091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.460229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.661085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.571106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.568521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.727481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.886044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.000707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.057286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:30.012876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:32.578486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:34.567713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.350633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.495669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.694572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.856676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.049762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.172310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.424142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.507266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.706847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.612407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.613076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.775487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.041857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.049404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.104421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:30.129901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:32.662798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:34.650443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.397902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.541751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.738380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.901476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.092101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.219069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.469388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.552323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.754040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.657696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.658570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.819458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.089429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.095535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.152036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:30.293316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:32.754321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:34.750727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.446208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.693735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.788061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.947886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.135450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.263687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.517448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.603057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.805962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.703167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.705829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.871304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.136377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.141991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.205554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:30.418049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:32.840322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:34.838128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.494632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.735069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.831112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.990885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.180083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.303272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.560455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.652695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.860757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.751695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.751262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.914809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.179333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.190518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.255977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:30.670969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:32.928080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:34.931636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.536572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.790283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.880890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.144375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.221126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.348489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.602407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.694202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.902559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.795398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.792993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.964818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.228565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.241202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.302481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:30.832561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:33.019713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:35.027938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.585172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.838834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.926220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.190053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.264302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.497832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.647811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.853619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.948912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.841652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.838095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.013324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.274175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.288315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.348008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:30.950417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:33.106471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:35.111628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.633267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.911601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.972766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.237703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.309579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.540455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.695624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.896817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.000389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.892000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.884001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.061868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.323204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.335746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.396054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:31.076024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:33.194662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:35.201563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.677878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:37.959315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.020339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.286083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.356127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.585418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.738720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.945292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.054586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.940036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.929493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.108142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.370944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.382627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.443810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:31.136470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:33.246814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:35.255597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.723146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.002099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.063541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.331276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.402340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.627796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.783471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:44.993620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.100357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.984541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.981438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.158447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.411738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.430700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.595963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:31.201917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:33.303061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:35.315099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.762877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.046802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.106569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.374646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.445650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.671719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.826644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.039127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.148001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.029520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.024514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.202585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.461107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.475580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.642560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:31.330677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:33.385113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:35.513616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.810567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.091408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.150692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.425185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.490468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.718637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.876261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.087369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.199437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.078009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.069630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.247934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.508819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.523457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.694674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:31.486463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:33.479280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:35.613143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.857418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.143539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.199906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.478064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.532567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.766962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.926801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.135422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.247297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.120510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.180482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.297678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.559613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.576905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:52.743007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:31.576536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:33.552933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:35.686393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:36.908610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:38.190548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:39.247547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:40.527530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:41.580598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:42.813825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:43.974573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:45.184484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:46.296851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:47.170884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:48.238199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:49.345862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:50.610170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-19T20:42:51.629406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-09-19T20:42:53.016175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-19T20:42:53.452677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-09-19T20:42:54.077874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

codeurlcreatorcreated_tcreated_datetimelast_modified_tlast_modified_datetimeproduct_namegeneric_namequantitypackagingpackaging_tagsbrandsbrands_tagscategoriescategories_tagscategories_froriginsorigins_tagsmanufacturing_placesmanufacturing_places_tagslabelslabels_tagslabels_fremb_codesemb_codes_tagsfirst_packaging_code_geocitiescities_tagspurchase_placesstorescountriescountries_tagscountries_fringredients_textallergensallergens_frtracestraces_tagstraces_frserving_sizeno_nutrimentsadditives_nadditivesadditives_tagsadditives_fringredients_from_palm_oil_ningredients_from_palm_oilingredients_from_palm_oil_tagsingredients_that_may_be_from_palm_oil_ningredients_that_may_be_from_palm_oilingredients_that_may_be_from_palm_oil_tagsnutrition_grade_uknutrition_grade_frpnns_groups_1pnns_groups_2statesstates_tagsstates_frmain_categorymain_category_frimage_urlimage_small_urlenergy_100genergy-from-fat_100gfat_100gsaturated-fat_100gbutyric-acid_100gcaproic-acid_100gcaprylic-acid_100gcapric-acid_100glauric-acid_100gmyristic-acid_100gpalmitic-acid_100gstearic-acid_100garachidic-acid_100gbehenic-acid_100glignoceric-acid_100gcerotic-acid_100gmontanic-acid_100gmelissic-acid_100gmonounsaturated-fat_100gpolyunsaturated-fat_100gomega-3-fat_100galpha-linolenic-acid_100geicosapentaenoic-acid_100gdocosahexaenoic-acid_100gomega-6-fat_100glinoleic-acid_100garachidonic-acid_100ggamma-linolenic-acid_100gdihomo-gamma-linolenic-acid_100gomega-9-fat_100goleic-acid_100gelaidic-acid_100ggondoic-acid_100gmead-acid_100gerucic-acid_100gnervonic-acid_100gtrans-fat_100gcholesterol_100gcarbohydrates_100gsugars_100gsucrose_100gglucose_100gfructose_100glactose_100gmaltose_100gmaltodextrins_100gstarch_100gpolyols_100gfiber_100gproteins_100gcasein_100gserum-proteins_100gnucleotides_100gsalt_100gsodium_100galcohol_100gvitamin-a_100gbeta-carotene_100gvitamin-d_100gvitamin-e_100gvitamin-k_100gvitamin-c_100gvitamin-b1_100gvitamin-b2_100gvitamin-pp_100gvitamin-b6_100gvitamin-b9_100gfolates_100gvitamin-b12_100gbiotin_100gpantothenic-acid_100gsilica_100gbicarbonate_100gpotassium_100gchloride_100gcalcium_100gphosphorus_100giron_100gmagnesium_100gzinc_100gcopper_100gmanganese_100gfluoride_100gselenium_100gchromium_100gmolybdenum_100giodine_100gcaffeine_100gtaurine_100gph_100gfruits-vegetables-nuts_100gcollagen-meat-protein-ratio_100gcocoa_100gchlorophyl_100gcarbon-footprint_100gnutrition-score-fr_100gnutrition-score-uk_100gglycemic-index_100gwater-hardness_100g
00000000003087http://world-fr.openfoodfacts.org/produit/0000000003087/farine-de-ble-noir-ferme-t-y-r-naoopenfoodfacts-contributors14741038662016-09-17T09:17:46Z14741038932016-09-17T09:18:13ZFarine de blé noirNaN1kgNaNNaNFerme t'y R'naoferme-t-y-r-naoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNen:FRen:franceFranceNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-to-be-completed, en:ingredients-to-be-completed, en:expiration-date-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-completed, en:product-name-completed, en:photos-to-be-validated, en:photos-uploadeden:to-be-completed,en:nutrition-facts-to-be-completed,en:ingredients-to-be-completed,en:expiration-date-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-completed,en:product-name-completed,en:photos-to-be-validated,en:photos-uploadedA compléter,Informations nutritionnelles à compléter,Ingrédients à compléter,Date limite à compléter,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité complétée,Nom du produit complete,Photos à valider,Photos envoyéesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
10000000004530http://world-fr.openfoodfacts.org/produit/0000000004530/banana-chips-sweetened-wholeusda-ndb-import14890699572017-03-09T14:32:37Z14890699572017-03-09T14:32:37ZBanana Chips Sweetened (Whole)NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisBananas, vegetable oil (coconut oil, corn oil and/or palm oil) sugar, natural banana flavor.NaNNaNNaNNaNNaN28 g (1 ONZ)NaN0.0[ bananas -> en:bananas ] [ vegetable-oil -> en:vegetable-oil ] [ oil -> en:oil ] [ coconut-oil -> en:coconut-oil ] [ oil -> en:oil ] [ corn-oil-and-or-palm-oil-sugar -> en:corn-oil-and-or-palm-oil-sugar ] [ oil-and-or-palm-oil-sugar -> en:oil-and-or-palm-oil-sugar ] [ and-or-palm-oil-sugar -> en:and-or-palm-oil-sugar ] [ or-palm-oil-sugar -> en:or-palm-oil-sugar ] [ palm-oil-sugar -> en:palm-oil-sugar ] [ oil-sugar -> en:oil-sugar ] [ sugar -> en:sugar ] [ natural-banana-flavor -> en:natural-banana-flavor ] [ banana-flavor -> en:banana-flavor ] [ flavor -> en:flavor ]NaNNaN0.0NaNNaN0.0NaNNaNNaNdNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-to-be-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-to-be-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques à compléter,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN2243.0NaN28.5728.57NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.01864.2914.29NaNNaNNaNNaNNaNNaNNaNNaN3.63.57NaNNaNNaN0.000000.000NaN0.0NaNNaNNaNNaN0.0214NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.000NaN0.00129NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN14.014.0NaNNaN
20000000004559http://world-fr.openfoodfacts.org/produit/0000000004559/peanuts-torn-glasserusda-ndb-import14890699572017-03-09T14:32:37Z14890699572017-03-09T14:32:37ZPeanutsNaNNaNNaNNaNTorn & Glassertorn-glasserNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisPeanuts, wheat flour, sugar, rice flour, tapioca starch, salt, leavening (ammonium bicarbonate, baking soda), soy sauce (water, soybeans, wheat, salt), potato starch.NaNNaNNaNNaNNaN28 g (0.25 cup)NaN0.0[ peanuts -> en:peanuts ] [ wheat-flour -> en:wheat-flour ] [ flour -> en:flour ] [ sugar -> en:sugar ] [ rice-flour -> en:rice-flour ] [ flour -> en:flour ] [ tapioca-starch -> en:tapioca-starch ] [ starch -> en:starch ] [ salt -> en:salt ] [ leavening -> en:leavening ] [ ammonium-bicarbonate -> en:ammonium-bicarbonate ] [ bicarbonate -> en:bicarbonate ] [ baking-soda -> en:baking-soda ] [ soda -> en:soda ] [ soy-sauce -> en:soy-sauce ] [ sauce -> en:sauce ] [ water -> en:water ] [ soybeans -> en:soybeans ] [ wheat -> en:wheat ] [ salt -> en:salt ] [ potato-starch -> en:potato-starch ] [ starch -> en:starch ]NaNNaN0.0NaNNaN0.0NaNNaNNaNbNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN1941.0NaN17.860.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.00060.7117.86NaNNaNNaNNaNNaNNaNNaNNaN7.117.86NaNNaNNaN0.635000.250NaN0.0NaNNaNNaNNaN0.0000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.071NaN0.00129NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaN
30000000016087http://world-fr.openfoodfacts.org/produit/0000000016087/organic-salted-nut-mix-grizzliesusda-ndb-import14890557312017-03-09T10:35:31Z14890557312017-03-09T10:35:31ZOrganic Salted Nut MixNaNNaNNaNNaNGrizzliesgrizzliesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic hazelnuts, organic cashews, organic walnuts almonds, organic sunflower oil, sea salt.NaNNaNNaNNaNNaN28 g (0.25 cup)NaN0.0[ organic-hazelnuts -> en:organic-hazelnuts ] [ hazelnuts -> en:hazelnuts ] [ organic-cashews -> en:organic-cashews ] [ cashews -> en:cashews ] [ organic-walnuts-almonds -> en:organic-walnuts-almonds ] [ walnuts-almonds -> en:walnuts-almonds ] [ almonds -> en:almonds ] [ organic-sunflower-oil -> en:organic-sunflower-oil ] [ sunflower-oil -> en:sunflower-oil ] [ oil -> en:oil ] [ sea-salt -> en:sea-salt ] [ salt -> en:salt ]NaNNaN0.0NaNNaN0.0NaNNaNNaNdNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN2540.0NaN57.145.36NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN17.863.57NaNNaNNaNNaNNaNNaNNaNNaN7.117.86NaNNaNNaN1.224280.482NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.143NaN0.00514NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN12.012.0NaNNaN
40000000016094http://world-fr.openfoodfacts.org/produit/0000000016094/organic-polenta-bob-s-red-millusda-ndb-import14890556532017-03-09T10:34:13Z14890556532017-03-09T10:34:13ZOrganic PolentaNaNNaNNaNNaNBob's Red Millbob-s-red-millNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic polentaNaNNaNNaNNaNNaN35 g (0.25 cup)NaN0.0[ organic-polenta -> en:organic-polenta ] [ polenta -> en:polenta ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN1552.0NaN1.43NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN77.14NaNNaNNaNNaNNaNNaNNaNNaNNaN5.78.57NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
50000000016100http://world-fr.openfoodfacts.org/produit/0000000016100/breadshop-honey-gone-nuts-granola-unfiusda-ndb-import14890556512017-03-09T10:34:11Z14890556512017-03-09T10:34:11ZBreadshop Honey Gone Nuts GranolaNaNNaNNaNNaNUnfiunfiNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisRolled oats, grape concentrate, expeller pressed canola oil, sunflower seeds, almonds, walnuts oat bran, sesame seeds, cashews, natural vitamin e.NaNNaNNaNNaNNaN52 g (0.5 cup)NaN0.0[ rolled-oats -> en:rolled-oats ] [ oats -> en:oats ] [ grape-concentrate -> en:grape-concentrate ] [ concentrate -> en:concentrate ] [ expeller-pressed-canola-oil -> en:expeller-pressed-canola-oil ] [ pressed-canola-oil -> en:pressed-canola-oil ] [ canola-oil -> en:canola-oil ] [ oil -> en:oil ] [ sunflower-seeds -> en:sunflower-seeds ] [ seeds -> en:seeds ] [ almonds -> en:almonds ] [ walnuts-oat-bran -> en:walnuts-oat-bran ] [ oat-bran -> en:oat-bran ] [ bran -> en:bran ] [ sesame-seeds -> en:sesame-seeds ] [ seeds -> en:seeds ] [ cashews -> en:cashews ] [ natural-vitamin-e -> en:natural-vitamin-e ] [ vitamin-e -> en:vitamin-e ] [ e -> en:e ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN1933.0NaN18.271.92NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN63.4611.54NaNNaNNaNNaNNaNNaNNaNNaN7.713.46NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.038NaN0.00346NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
60000000016117http://world-fr.openfoodfacts.org/produit/0000000016117/organic-long-grain-white-rice-lundbergusda-ndb-import14890557302017-03-09T10:35:30Z14890557302017-03-09T10:35:30ZOrganic Long Grain White RiceNaNNaNNaNNaNLundberglundbergNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic long grain white riceNaNNaNNaNNaNNaN45 g (0.25 cup)NaN0.0[ organic-long-grain-white-rice -> en:organic-long-grain-white-rice ] [ long-grain-white-rice -> en:long-grain-white-rice ] [ grain-white-rice -> en:grain-white-rice ] [ white-rice -> en:white-rice ] [ rice -> en:rice ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN1490.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN80.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN8.89NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0027NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.044NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
70000000016124http://world-fr.openfoodfacts.org/produit/0000000016124/organic-muesli-daddy-s-muesliusda-ndb-import14890557112017-03-09T10:35:11Z14890557122017-03-09T10:35:12ZOrganic MuesliNaNNaNNaNNaNDaddy's Mueslidaddy-s-muesliNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrg oats, org hemp granola (org oats, evaporated cane juice, org expeller-pressed canola oil, crispy rice [org brown rice flour, org evaporated cane juice, org molasses, sea salt], org flax seeds, org oat solids, hemp seeds), org raisins, org dates, org almonds, org hazelnuts, org coconut, org sunflower seeds, org pumpkin seeds, org flax seeds, org corn flakes (org corn meal, org grape and/or pear juice concentrate, sea salt), org quinoa amaranth flakes (org corn meal, org yellow corn flour, org evaporated cane juice, org flax, org buckwheat flour, org quinoa, org amaranth, sea salt, tocopherols [natural vitamin e]).NaNNaNNaNNaNNaN64 g (0.5 cup)NaN2.0[ org-oats -> en:org-oats ] [ oats -> en:oats ] [ org-hemp-granola -> en:org-hemp-granola ] [ hemp-granola -> en:hemp-granola ] [ granola -> en:granola ] [ org-oats -> en:org-oats ] [ oats -> en:oats ] [ evaporated-cane-juice -> en:evaporated-cane-juice ] [ cane-juice -> en:cane-juice ] [ juice -> en:juice ] [ org-expeller-pressed-canola-oil -> en:org-expeller-pressed-canola-oil ] [ expeller-pressed-canola-oil -> en:expeller-pressed-canola-oil ] [ pressed-canola-oil -> en:pressed-canola-oil ] [ canola-oil -> en:canola-oil ] [ oil -> en:oil ] [ crispy-rice -> en:crispy-rice ] [ rice -> en:rice ] [ org-brown-rice-flour -> en:org-brown-rice-flour ] [ brown-rice-flour -> en:brown-rice-flour ] [ rice-flour -> en:rice-flour ] [ flour -> en:flour ] [ org-evaporated-cane-juice -> en:org-evaporated-cane-juice ] [ evaporated-cane-juice -> en:evaporated-cane-juice ] [ cane-juice -> en:cane-juice ] [ juice -> en:juice ] [ org-molasses -> en:org-molasses ] [ molasses -> en:molasses ] [ sea-salt -> en:sea-salt ] [ salt -> en:salt ] [ org-flax-seeds -> en:org-flax-seeds ] [ flax-seeds -> en:flax-seeds ] [ seeds -> en:seeds ] [ org-oat-solids -> en:org-oat-solids ] [ oat-solids -> en:oat-solids ] [ solids -> en:solids ] [ hemp-seeds -> en:hemp-seeds ] [ seeds -> en:seeds ] [ org-raisins -> en:org-raisins ] [ raisins -> en:raisins ] [ org-dates -> en:org-dates ] [ dates -> en:dates ] [ org-almonds -> en:org-almonds ] [ almonds -> en:almonds ] [ org-hazelnuts -> en:org-hazelnuts ] [ hazelnuts -> en:hazelnuts ] [ org-coconut -> en:org-coconut ] [ coconut -> en:coconut ] [ org-sunflower-seeds -> en:org-sunflower-seeds ] [ sunflower-seeds -> en:sunflower-seeds ] [ seeds -> en:seeds ] [ org-pumpkin-seeds -> en:org-pumpkin-seeds ] [ pumpkin-seeds -> en:pumpkin-seeds ] [ seeds -> en:seeds ] [ org-flax-seeds -> en:org-flax-seeds ] [ flax-seeds -> en:flax-seeds ] [ seeds -> en:seeds ] [ org-corn-flakes -> en:org-corn-flakes ] [ corn-flakes -> en:corn-flakes ] [ flakes -> en:flakes ] [ org-corn-meal -> en:org-corn-meal ] [ corn-meal -> en:corn-meal ] [ meal -> en:meal ] [ org-grape-and-or-pear-juice-concentrate -> en:org-grape-and-or-pear-juice-concentrate ] [ grape-and-or-pear-juice-concentrate -> en:grape-and-or-pear-juice-concentrate ] [ and-or-pear-juice-concentrate -> en:and-or-pear-juice-concentrate ] [ or-pear-juice-concentrate -> en:or-pear-juice-concentrate ] [ pear-juice-concentrate -> en:pear-juice-concentrate ] [ juice-concentrate -> en:juice-concentrate ] [ concentrate -> en:concentrate ] [ sea-salt -> en:sea-salt ] [ salt -> en:salt ] [ org-quinoa-amaranth-flakes -> en:org-quinoa-amaranth-flakes ] [ quinoa-amaranth-flakes -> en:quinoa-amaranth-flakes ] [ amaranth-flakes -> en:amaranth-flakes ] [ flakes -> en:flakes ] [ org-corn-meal -> en:org-corn-meal ] [ corn-meal -> en:corn-meal ] [ meal -> en:meal ] [ org-yellow-corn-flour -> en:org-yellow-corn-flour ] [ yellow-corn-flour -> en:yellow-corn-flour ] [ corn-flour -> en:corn-flour ] [ flour -> en:flour ] [ org-evaporated-cane-juice -> en:org-evaporated-cane-juice ] [ evaporated-cane-juice -> en:evaporated-cane-juice ] [ cane-juice -> en:cane-juice ] [ juice -> en:juice ] [ org-flax -> en:org-flax ] [ flax -> en:flax ] [ org-buckwheat-flour -> en:org-buckwheat-flour ] [ buckwheat-flour -> en:buckwheat-flour ] [ flour -> en:flour ] [ org-quinoa -> en:org-quinoa ] [ quinoa -> en:quinoa ] [ org-amaranth -> en:org-amaranth ] [ amaranth -> en:e123 -> exists -- ok ] [ sea-salt -> en:sea-salt ] [ salt -> en:salt ] [ tocopherols -> en:e307a -> exists -- ok ] [ natural-vitamin-e -> en:natural-vitamin-e ] [ vitamin-e -> en:vitamin-e ] [ e -> en:e ]en:e123,en:e307aE123 - Amarante,E307a - Tocophérol0.0NaNNaN0.0NaNNaNNaNcNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN1833.0NaN18.754.69NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN57.8115.62NaNNaNNaNNaNNaNNaNNaNNaN9.414.06NaNNaNNaN0.139700.055NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.062NaN0.00422NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN7.07.0NaNNaN
80000000016193http://world-fr.openfoodfacts.org/produit/0000000016193/organic-dark-chocolate-minis-equal-exchangeusda-ndb-import14890556512017-03-09T10:34:11Z14890556512017-03-09T10:34:11ZOrganic Dark Chocolate MinisNaNNaNNaNNaNEqual Exchangeequal-exchangeNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic chocolate liquor, organic raw cane sugar, organic cocoa butter, organic unrefined whole cane sugar, organic ground vanilla beans.NaNNaNNaNNaNNaN40 g (40 g)NaN0.0[ organic-chocolate-liquor -> en:organic-chocolate-liquor ] [ chocolate-liquor -> en:chocolate-liquor ] [ liquor -> en:liquor ] [ organic-raw-cane-sugar -> en:organic-raw-cane-sugar ] [ raw-cane-sugar -> en:raw-cane-sugar ] [ cane-sugar -> en:cane-sugar ] [ sugar -> en:sugar ] [ organic-cocoa-butter -> en:organic-cocoa-butter ] [ cocoa-butter -> en:cocoa-butter ] [ butter -> en:butter ] [ organic-unrefined-whole-cane-sugar -> en:organic-unrefined-whole-cane-sugar ] [ unrefined-whole-cane-sugar -> en:unrefined-whole-cane-sugar ] [ whole-cane-sugar -> en:whole-cane-sugar ] [ cane-sugar -> en:cane-sugar ] [ sugar -> en:sugar ] [ organic-ground-vanilla-beans -> en:organic-ground-vanilla-beans ] [ ground-vanilla-beans -> en:ground-vanilla-beans ] [ vanilla-beans -> en:vanilla-beans ] [ beans -> en:beans ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN2406.0NaN37.5022.50NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN55.0042.50NaNNaNNaNNaNNaNNaNNaNNaN7.55.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.050NaN0.01125NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
90000000016513http://world-fr.openfoodfacts.org/produit/0000000016513/organic-sunflower-oil-napa-valley-naturalsusda-ndb-import14890556542017-03-09T10:34:14Z14890556542017-03-09T10:34:14ZOrganic Sunflower OilNaNNaNNaNNaNNapa Valley Naturalsnapa-valley-naturalsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic expeller pressed, refined high oleic sunflower oilNaNNaNNaNNaNNaN14 g (1 Tbsp)NaN0.0[ organic-expeller-pressed -> en:organic-expeller-pressed ] [ expeller-pressed -> en:expeller-pressed ] [ pressed -> en:pressed ] [ refined-high-oleic-sunflower-oil -> en:refined-high-oleic-sunflower-oil ] [ high-oleic-sunflower-oil -> en:high-oleic-sunflower-oil ] [ oleic-sunflower-oil -> en:oleic-sunflower-oil ] [ sunflower-oil -> en:sunflower-oil ] [ oil -> en:oil ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN3586.0NaN100.007.14NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
codeurlcreatorcreated_tcreated_datetimelast_modified_tlast_modified_datetimeproduct_namegeneric_namequantitypackagingpackaging_tagsbrandsbrands_tagscategoriescategories_tagscategories_froriginsorigins_tagsmanufacturing_placesmanufacturing_places_tagslabelslabels_tagslabels_fremb_codesemb_codes_tagsfirst_packaging_code_geocitiescities_tagspurchase_placesstorescountriescountries_tagscountries_fringredients_textallergensallergens_frtracestraces_tagstraces_frserving_sizeno_nutrimentsadditives_nadditivesadditives_tagsadditives_fringredients_from_palm_oil_ningredients_from_palm_oilingredients_from_palm_oil_tagsingredients_that_may_be_from_palm_oil_ningredients_that_may_be_from_palm_oilingredients_that_may_be_from_palm_oil_tagsnutrition_grade_uknutrition_grade_frpnns_groups_1pnns_groups_2statesstates_tagsstates_frmain_categorymain_category_frimage_urlimage_small_urlenergy_100genergy-from-fat_100gfat_100gsaturated-fat_100gbutyric-acid_100gcaproic-acid_100gcaprylic-acid_100gcapric-acid_100glauric-acid_100gmyristic-acid_100gpalmitic-acid_100gstearic-acid_100garachidic-acid_100gbehenic-acid_100glignoceric-acid_100gcerotic-acid_100gmontanic-acid_100gmelissic-acid_100gmonounsaturated-fat_100gpolyunsaturated-fat_100gomega-3-fat_100galpha-linolenic-acid_100geicosapentaenoic-acid_100gdocosahexaenoic-acid_100gomega-6-fat_100glinoleic-acid_100garachidonic-acid_100ggamma-linolenic-acid_100gdihomo-gamma-linolenic-acid_100gomega-9-fat_100goleic-acid_100gelaidic-acid_100ggondoic-acid_100gmead-acid_100gerucic-acid_100gnervonic-acid_100gtrans-fat_100gcholesterol_100gcarbohydrates_100gsugars_100gsucrose_100gglucose_100gfructose_100glactose_100gmaltose_100gmaltodextrins_100gstarch_100gpolyols_100gfiber_100gproteins_100gcasein_100gserum-proteins_100gnucleotides_100gsalt_100gsodium_100galcohol_100gvitamin-a_100gbeta-carotene_100gvitamin-d_100gvitamin-e_100gvitamin-k_100gvitamin-c_100gvitamin-b1_100gvitamin-b2_100gvitamin-pp_100gvitamin-b6_100gvitamin-b9_100gfolates_100gvitamin-b12_100gbiotin_100gpantothenic-acid_100gsilica_100gbicarbonate_100gpotassium_100gchloride_100gcalcium_100gphosphorus_100giron_100gmagnesium_100gzinc_100gcopper_100gmanganese_100gfluoride_100gselenium_100gchromium_100gmolybdenum_100giodine_100gcaffeine_100gtaurine_100gph_100gfruits-vegetables-nuts_100gcollagen-meat-protein-ratio_100gcocoa_100gchlorophyl_100gcarbon-footprint_100gnutrition-score-fr_100gnutrition-score-uk_100gglycemic-index_100gwater-hardness_100g
900000000034548http://world-fr.openfoodfacts.org/produit/0000000034548/organic-raw-walnuts-kid-picksusda-ndb-import14890556782017-03-09T10:34:38Z14890556782017-03-09T10:34:38ZOrganic Raw WalnutsNaNNaNNaNNaNKid Pickskid-picksNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic walnutsNaNNaNNaNNaNNaN25 g (0.25 cup)NaN0.0[ organic-walnuts -> en:organic-walnuts ] [ walnuts -> en:walnuts ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN2678.0NaN64.006.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN12.00NaNNaNNaNNaNNaNNaNNaNNaNNaN8.016.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.120NaN0.00288NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
910000000034562http://world-fr.openfoodfacts.org/produit/0000000034562/organic-raw-sunflower-seeds-unfiusda-ndb-import14890557062017-03-09T10:35:06Z14890557072017-03-09T10:35:07ZOrganic Raw Sunflower SeedsNaNNaNNaNNaNUnfiunfiNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic raw sunflower seeds.NaNNaNNaNNaNNaN33 g (0.25 cup)NaN0.0[ organic-raw-sunflower-seeds -> en:organic-raw-sunflower-seeds ] [ raw-sunflower-seeds -> en:raw-sunflower-seeds ] [ sunflower-seeds -> en:sunflower-seeds ] [ seeds -> en:seeds ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN2218.0NaN42.426.06NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN21.21NaNNaNNaNNaNNaNNaNNaNNaNNaN9.118.18NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.121NaN0.00600NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
920000000034623http://world-fr.openfoodfacts.org/produit/0000000034623/organic-trail-mix-unfiusda-ndb-import14890556512017-03-09T10:34:11Z14890556522017-03-09T10:34:12ZOrganic Trail MixNaNNaNNaNNaNUnfiunfiNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic raisins, organic dry roasted peanuts, organic sunflower seeds, organic almonds, organic dates (organic dates, organic oat flour), organic apricots, organic pumpkin seeds, organic apples, organic walnuts.NaNNaNNaNNaNNaN30 g (0.25 cup)NaN0.0[ organic-raisins -> en:organic-raisins ] [ raisins -> en:raisins ] [ organic-dry-roasted-peanuts -> en:organic-dry-roasted-peanuts ] [ dry-roasted-peanuts -> en:dry-roasted-peanuts ] [ roasted-peanuts -> en:roasted-peanuts ] [ peanuts -> en:peanuts ] [ organic-sunflower-seeds -> en:organic-sunflower-seeds ] [ sunflower-seeds -> en:sunflower-seeds ] [ seeds -> en:seeds ] [ organic-almonds -> en:organic-almonds ] [ almonds -> en:almonds ] [ organic-dates -> en:organic-dates ] [ dates -> en:dates ] [ organic-dates -> en:organic-dates ] [ dates -> en:dates ] [ organic-oat-flour -> en:organic-oat-flour ] [ oat-flour -> en:oat-flour ] [ flour -> en:flour ] [ organic-apricots -> en:organic-apricots ] [ apricots -> en:apricots ] [ organic-pumpkin-seeds -> en:organic-pumpkin-seeds ] [ pumpkin-seeds -> en:pumpkin-seeds ] [ seeds -> en:seeds ] [ organic-apples -> en:organic-apples ] [ apples -> en:apples ] [ organic-walnuts -> en:organic-walnuts ] [ walnuts -> en:walnuts ]NaNNaN0.0NaNNaN0.0NaNNaNNaNcNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN1812.0NaN26.673.33NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN46.6733.33NaNNaNNaNNaNNaNNaNNaNNaN6.713.33NaNNaNNaN0.127000.050NaNNaNNaNNaNNaNNaN0.004NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.067NaN0.00480NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.010.0NaNNaN
930000000034715http://world-fr.openfoodfacts.org/produit/0000000034715/organic-pecan-halves-pccusda-ndb-import14890557152017-03-09T10:35:15Z14890557152017-03-09T10:35:15ZOrganic Pecan HalvesNaNNaNNaNNaNPccpccNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisUs grown organic pecans.NaNNaNNaNNaNNaN28.4 g (1 oz)NaN0.0[ us-grown-organic-pecans -> en:us-grown-organic-pecans ] [ grown-organic-pecans -> en:grown-organic-pecans ] [ organic-pecans -> en:organic-pecans ] [ pecans -> en:pecans ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN2946.0NaN70.427.04NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN14.083.52NaNNaNNaNNaNNaNNaNNaNNaN7.010.56NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
940000000034784http://world-fr.openfoodfacts.org/produit/0000000034784/unsalted-dry-roasted-almonds-unfiusda-ndb-import14891384852017-03-10T09:34:45Z14891384852017-03-10T09:34:45ZUnsalted Dry Roasted AlmondsNaNNaNNaNNaNUnfiunfiNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisDry roasted almonds.NaNNaNNaNNaNNaN30 g (0.25 cup)NaN0.0[ dry-roasted-almonds -> en:dry-roasted-almonds ] [ roasted-almonds -> en:roasted-almonds ] [ almonds -> en:almonds ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN2791.0NaN56.675.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN20.006.67NaNNaNNaNNaNNaNNaNNaNNaN13.326.67NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.300NaN0.00540NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
950000000034791http://world-fr.openfoodfacts.org/produit/0000000034791/organic-raw-pumpkin-seeds-pccusda-ndb-import14890557202017-03-09T10:35:20Z14890557202017-03-09T10:35:20ZOrganic Raw Pumpkin SeedsNaNNaNNaNNaNPccpccNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic pumpkin seedsNaNNaNNaNNaNNaN30 g (0.25 cup)NaN0.0[ organic-pumpkin-seeds -> en:organic-pumpkin-seeds ] [ pumpkin-seeds -> en:pumpkin-seeds ] [ seeds -> en:seeds ]NaNNaN0.0NaNNaN0.0NaNNaNNaNdNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN2510.0NaN46.6713.33NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN13.333.33NaNNaNNaNNaNNaNNaNNaNNaN10.030.00NaNNaNNaN0.043180.017NaN0.0001NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00900NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN12.012.0NaNNaN
960000000035071http://world-fr.openfoodfacts.org/produit/0000000035071/organic-extra-virgin-olive-oil-napa-valley-naturalsusda-ndb-import14891384842017-03-10T09:34:44Z14891384842017-03-10T09:34:44ZOrganic Extra Virgin Olive OilNaNNaNNaNNaNNapa Valley Naturalsnapa-valley-naturalsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-Unis100% cold pressed unrefined oil from the first pressing of organic olives.NaNNaNNaNNaNNaN14 ml (1 Tbsp)NaN0.0[ 100-cold-pressed-unrefined-oil-from-the-first-pressing-of-organic-olives -> en:100-cold-pressed-unrefined-oil-from-the-first-pressing-of-organic-olives ] [ cold-pressed-unrefined-oil-from-the-first-pressing-of-organic-olives -> en:cold-pressed-unrefined-oil-from-the-first-pressing-of-organic-olives ] [ pressed-unrefined-oil-from-the-first-pressing-of-organic-olives -> en:pressed-unrefined-oil-from-the-first-pressing-of-organic-olives ] [ unrefined-oil-from-the-first-pressing-of-organic-olives -> en:unrefined-oil-from-the-first-pressing-of-organic-olives ] [ oil-from-the-first-pressing-of-organic-olives -> en:oil-from-the-first-pressing-of-organic-olives ] [ from-the-first-pressing-of-organic-olives -> en:from-the-first-pressing-of-organic-olives ] [ the-first-pressing-of-organic-olives -> en:the-first-pressing-of-organic-olives ] [ first-pressing-of-organic-olives -> en:first-pressing-of-organic-olives ] [ pressing-of-organic-olives -> en:pressing-of-organic-olives ] [ of-organic-olives -> en:of-organic-olives ] [ organic-olives -> en:organic-olives ] [ olives -> en:olives ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN3586.0NaN100.0014.29NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
970000000035170http://world-fr.openfoodfacts.org/produit/0000000035170/liquid-aminos-braggusda-ndb-import14891384882017-03-10T09:34:48Z14891384882017-03-10T09:34:48ZLiquid AminosNaNNaNNaNNaNBraggbraggNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisWater, bragg's formulated soy proteinNaNNaNNaNNaNNaN2.5 ml (0.5 tsp)NaN0.0[ water -> en:water ] [ bragg-s-formulated-soy-protein -> en:bragg-s-formulated-soy-protein ] [ s-formulated-soy-protein -> en:s-formulated-soy-protein ] [ formulated-soy-protein -> en:formulated-soy-protein ] [ soy-protein -> en:soy-protein ] [ protein -> en:protein ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN4.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN11.60NaNNaNNaN11.176004.400NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
980000000035279http://world-fr.openfoodfacts.org/produit/0000000035279/organic-canola-oil-refined-spectrumusda-ndb-import14891384852017-03-10T09:34:45Z14891384862017-03-10T09:34:46ZOrganic Canola Oil RefinedNaNNaNNaNNaNSpectrumspectrumNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisOrganic expeller pressed refined canola oilNaNNaNNaNNaNNaN14 ml (1 Tbsp)NaN0.0[ organic-expeller-pressed-refined-canola-oil -> en:organic-expeller-pressed-refined-canola-oil ] [ expeller-pressed-refined-canola-oil -> en:expeller-pressed-refined-canola-oil ] [ pressed-refined-canola-oil -> en:pressed-refined-canola-oil ] [ refined-canola-oil -> en:refined-canola-oil ] [ canola-oil -> en:canola-oil ] [ oil -> en:oil ]NaNNaN0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN3586.0NaN100.007.14NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
990000000035286http://world-fr.openfoodfacts.org/produit/0000000035286/organic-shoyu-san-jusda-ndb-import14891384872017-03-10T09:34:47Z14891384872017-03-10T09:34:47ZOrganic ShoyuNaNNaNNaNNaNSan Jsan-jNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNUSen:united-statesÉtats-UnisWater, organic whole soybeans, organic whole wheat, salt and alcohol (to preserve freshness). cooked, mashed and fermented with a traditional microbial culture (aspergillus oryzae).NaNNaNNaNNaNNaN18 ml (1 Tbsp)NaN1.0[ water -> en:water ] [ organic-whole-soybeans -> en:organic-whole-soybeans ] [ whole-soybeans -> en:whole-soybeans ] [ soybeans -> en:soybeans ] [ organic-whole-wheat -> en:organic-whole-wheat ] [ whole-wheat -> en:whole-wheat ] [ wheat -> en:wheat ] [ salt-and-alcohol -> en:salt-and-alcohol ] [ and-alcohol -> en:and-alcohol ] [ alcohol -> en:e1510 -> exists -- ok ] [ to-preserve-freshness-cooked -> en:to-preserve-freshness-cooked ] [ preserve-freshness-cooked -> en:preserve-freshness-cooked ] [ freshness-cooked -> en:freshness-cooked ] [ cooked -> en:cooked ] [ mashed-and-fermented-with-a-traditional-microbial-culture -> en:mashed-and-fermented-with-a-traditional-microbial-culture ] [ and-fermented-with-a-traditional-microbial-culture -> en:and-fermented-with-a-traditional-microbial-culture ] [ fermented-with-a-traditional-microbial-culture -> en:fermented-with-a-traditional-microbial-culture ] [ with-a-traditional-microbial-culture -> en:with-a-traditional-microbial-culture ] [ a-traditional-microbial-culture -> en:a-traditional-microbial-culture ] [ traditional-microbial-culture -> en:traditional-microbial-culture ] [ microbial-culture -> en:microbial-culture ] [ culture -> en:culture ] [ aspergillus-oryzae -> en:aspergillus-oryzae ] [ oryzae -> en:oryzae ]en:e1510E1510 - Éthanol0.0NaNNaN0.0NaNNaNNaNNaNNaNNaNen:to-be-completed, en:nutrition-facts-completed, en:ingredients-completed, en:expiration-date-to-be-completed, en:packaging-code-to-be-completed, en:characteristics-to-be-completed, en:categories-to-be-completed, en:brands-completed, en:packaging-to-be-completed, en:quantity-to-be-completed, en:product-name-completed, en:photos-to-be-uploadeden:to-be-completed,en:nutrition-facts-completed,en:ingredients-completed,en:expiration-date-to-be-completed,en:packaging-code-to-be-completed,en:characteristics-to-be-completed,en:categories-to-be-completed,en:brands-completed,en:packaging-to-be-completed,en:quantity-to-be-completed,en:product-name-completed,en:photos-to-be-uploadedA compléter,Informations nutritionnelles complétées,Ingrédients complétés,Date limite à compléter,en:Packaging-code-to-be-completed,Caractéristiques à compléter,Catégories à compléter,Marques complétées,Emballage à compléter,Quantité à compléter,Nom du produit complete,Photos à envoyerNaNNaNNaNNaN234.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN5.56NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN11.11NaNNaNNaN13.545825.333NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00300NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN